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Fujisaki Model 對應階層性語流韻律架構 HPG 在國語的應用與分析. 中央研究院語言學研究所 蘇昭宇 morison@phslab.ihp.sinica.edu.tw. Outline. Hierarchical Framework of Discourse Prosody HPG Introduction The HPG framework Prosodic features and templates of Mandarin fluent speech prosody Corpus approach and quantitative evidences - PowerPoint PPT Presentation
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Fujisaki ModelHPG
morison@phslab.ihp.sinica.edu.tw
OutlineHierarchical Framework of Discourse Prosody HPGIntroductionThe HPG frameworkProsodic features and templates of Mandarin fluent speech prosodyCorpus approach and quantitative evidences
Fujisaki Model(F0 model)Auto-extraction Phrase componentsAccent components
Predicting cross-phrase F0 patterns with higher level discourse information using the Fujisaki model
Experiment & results
Conclusion
Reference Tseng, Chiu-yu (2006). Prosody Analysis,in Advances in Chinese Spoken Language Processing, edited by Chin-Hui Lee, Haizhou Li, Lin-shan Lee, Ren-Hua Wang, Qiang Huo, World Scientific Publishing, Singapore,pp.57-76. Tseng Chiu-yu, Pin Shao-huang, Lee Yeh-lin, Wang Hsin-min and Chen Yong-cheng (2005). Fluent speech prosody: framework and modeling, Speech Communication, Vol.46,issues 3-4,(July 2005), Special Issue on Quantitative Prosody Modelling for Natural Speech Description and Generation, pp.284-309.Fujisaki H, Hirose K. Analysis of voice fundamentalfrequency contours for declarative sentences ofJapanese. J.Acoust. Soc.Jpn.(E), 1984; 5(4): 233-242.Mixdorff, H. (2000): A Novel Approach to the Fully Automatic Extraction of Fujisaki Model Parameters. Proceedings of ICASSP 2000, vol. 3, pages 1281-1284, Istanbul, Turkey. Mixdorff, H., Hu, Y. and Chen, G. (2003): Towards the Automatic Extraction of Fujisaki Model Parameters for Mandarin. In Proceedings of Eurospeech 2003, Geneva. Wentao Gu, Hirose K, Fujisaki H: Comparison of Perceived Prosodic Boundaries and Global Characteristics of Voice Fundamental Frequency Contours in Mandarin Speech. ISCSLP 2006: 31-42
HPG (Hierarchical Prosodic Phrase Grouping) Framework of Discourse Prosody--Fluent Speech Prosody
Introduction of HPG (1/2)From bottom up, output fluent speech prosody includes lexical prosody (tone), syntactic prosody (intonation) and discourse prosody (cross-phrase semantic associations).
From top down, the HPG framework represents hierarchical constraints discourse, syntactic and lexical information. Thus, higher level prosodic units constrain and govern lower level ones; lower level units are subject to and associated by higher level units.
Phrases in speech flow should NOT be treated as independent, unrelated prosodic units. Rather, intonation units are subordinate prosodic units subject to HPG specifications.
Introduction of HPG (2/2)4. Output fluent speech prosody results from cumulative layered contributions from lexical, syntactic and discourse information. Therefore, prosody does NOT stop at phrase intonation.
5. According to HPG specifications, variations of phrase intonations across speech flow are systematic and predictable.
HPG (Hierarchical Prosodic Phrase Grouping)--Discourse Prosody Hierarchy(unit and constraints)
A schematic representation of how PGs form spoken discourse
Speech data annotationThe speech data were manually labeled by independent transcribers for perceived boundaries and breaks (pauses), using a 5-step break labeling system corresponding our framework.
Hand Labeling Perceived Boundary (Tseng et al, 1999) in Relation to Prosody Organization Systematic and Predictable
COSPRO http://www.myet.com/corporaFlow chart of speech data processing and annotation-Read speech Task flow output files and file names footnotes Recording Speechin Sound Proof ChambersHand Mapping RecordedSpeech with TextSegmenting Speech Filesusing HTKSpot-checking by HandHand-labeling PerceivedProsodic BoundariesAnalyzing LabeledSpeech Data*.wavEditing Text to MatchSpeech Files*.phn*.adjust*.breakPG modelConverting Text to SAMPA*.SAMPAText for speakers to readDesigning Text for Narrationfile extension: *.textSerial numbers for text and wav files are identical. sampling rate: 16000Hzsampling format: 1 channel 16-bit linearHand Correcting MismatchFile extension: *.adjustAdjustments:segment boundariesmultiple pronunciation characters
Cross-Phrase Prosodic Features and TemplatesCorpus investigations and quantitative analyses enabled us to
1. obtain quantitative evidences of cumulative contributions of prosodic layers to output prosody,
2. derive cross-phrase hierarchical templates corresponding to every prosodic layer in the following 4 acoustic correlates (Tseng et al, 2004; 2005; 2006)
1. F0 contour templates2. Duration cadence templates3. Intensity distribution patterns4. Pause cadence templates
Quantitative Analysis and Predictions: F0, Duration , Intensity and BreaksHierarchical linear modelFujisaki parametersPauseDurationIntensity
Auto-Extraction for Fujisaki ModelFujisaki parametersF0 contour
The Fujisaki Model
Fujisaki Model (1984)Intonation modelUnitsyntax defined simple sentence
F0 curve corresponding to single simple phrase as defined by syntax can be generated
Generation of gradually declining baselines of F0 curve can be decomposed into the phrase components (Ap) and accent components (Aa)
Evidences obtained: Japanese, English, German, Mandarin, Thai, Vietnameseetc.
The Fujisaki Model (1/2)F0=Base frequency+ Phrase components+ Accent components
The Fujisaki Model (2/2)
Phrase components= 0.01~0.05
Accent components= 0.1~0.5
Simulation of Mandarin Prosody with Fujisaki ModelPhrasecomponentsAccentcomponentsSimulated ResultApAaFb
Simulating/Generating F0 Curves with Fujisaki ModelAuto-extraction of Parameters
(other approaches vs. our approach)
Mixdorff (2000, 2003)-- Interpolation and Smoothing (1/3)Intermediate F0 values for unvoiced speech segments Microprosodic variations are smoothed out. Feature: very close simulation, one phrase at a time.
Mixdorff (2000, 2003)High-Pass Filtering and Component Separation (2/3)highpass filter(stop frequency at 0.5 Hz)The output of the highpass filter(HFC)low frequency contour (LFC): containing the sum of phrase component and Fb.
Component SeparationFb : the overall minimum of the LFC Phrase components : the residual of LFC subtracted Fb
Mixdorff (2000, 2003)-- Optimizing simulated F0 curve (3/3)Hill-Climbing MethodologyConstruct a sub-optimal solution that meets the constraints of the problem Take the solution and make an improvement upon it Repeatedly improve the solution until no more improvements are necessary/possible
Gu (2006 Generating F0 Curves Using Speech Sample from CORSPRO_051.Gu did NOT consider information above phrases.2.Gu compared generation results with HPG labeled results.
Gu (2006)Simulation of F0 Curves w/out Higher Level and Boundary InformationFeatures:Local minimum of LFC are considered and inserted with ApF0 curves and boundaries are generated
Gu (2006) observed large variations of Aps exist1. between two speakers, 2. among boundaries We observed: 1. The magnitude of Ap inserted in larger boundaries (B4, B5) are similar.2. Similar patterns exist in BGs or PGs.
Why Higher Level Discourse Information? (1/2)Gu (2006)s traditional approach without higher level information
Focus: 1. Isolated phrase intonations and boundaries are generated one at a time. 2. Simulation and fine tuning of each generation. Problems: 1. Large variations of Aps exist between speakers and among boundaries.2. Variations can not be predicted and/or solved; concatenation of each generation can not yield patterns for technological implementation.
Why Higher Level Discourse Information? (2/2)Tseng et al approach with higher level discourse information (HPG)
Focus:Prediction of fluent speech prosody, i.e., cross-phrase F0 curves and boundary break
Advantages: 1.Multiple phrase intonations and boundaries can be predicted according to HPG specifications.2. Output prosody is NOT concatenation of independent isolated phrase intonations.3. Between-speaker and among-boundary Ap variations are systematic and predictable, therefore, are NOT considered variations by HPG framework.4. Useful to technology development (speech synthesis).
2 ExperimentsHypothesis Predictions of phrase intonation curves can be improved with higher level information because HPG specifies cross-phrase associations.Cumulative contributions from prosodic layers can provide useful information.
Implicationstechnology development
Speech DataSinica COSPRO 08
Carrier paragraph: A 30-syllable, 3-phrase complex sentence representing a short PG was constructedA target single syllables was embedded in three PG positions, i.e., PG-Initial, -medial and final.
Speaking rates:289 and 308 ms/syllable for M054C and F054C
Target syllable analyzed:Tone 1
Goals:1. Patterns of Ap could be derived from speech data.
2. Evidence of interaction between phrase command and higher-level prosodic units could be found.
3. Evidences found could predict cross-phrase F0 allocation in speech flow. Experiment 1
Distribution of speech dataRange of values of Ap from phrases produced by female speaker F054cin three PG related positions are presented.
PG PositionAp range-Initial0.959~0.499-Medial0.615~0.04-Final0.678~0.093
Distribution of speech dataA schematic representation of the distribution of Ap of F054c where the horizontal axis represents values of Ap and the vertical axis represents number of Ap occurrence.
ResultsThe expected cell mean of predictions with and without the PG effect. The Figure is a schematic representation of the patterns of phrasesafter PG effect is taken into consideration.
Expected Cell Mean at the PPh levelwithout PG effects:0.4595Expected Cell Mean at the PG levelwith PG effect:PG InitialPG MedialPG Final0.69840.35360.3265
ExamplesOne expected cell mean cant approach LFC well, PG-initial and PG-final especially. without PG-effectwith PG-effect
Superimposed F0 according to the HPG Framework SylPPhPGF0F0F0ttt
What Does Higher Level Discourse Information Mean? Swapping PG-initial and PG-finalF0tF0ExchangedOriginalt
Further Evidences of HPG, Systematic and PredictableSame Base Form and Different Distribution Yield Different Output Prosody Styles
Speech DataMandarin rhymed classical writing
Styleregularsemi-regularirregularWeatherBroadcast
Styleirregular
# of Syl# of PPh# of Discoursespeech_rate(ms)female f054705472034193female m054709674734165
# of Syl# of PPh# of Discoursespeech_rate(ms)female f054350271030271female m056351071130202
Classification of Stylistic Variationsregularirregularsemi-regular
IndexName of files # of syllablesstyle of writing07a30017a9018a8019a15021a5022a12023a4024a16026a5027a262
IndexName of files # of syllablesstyle of writing01a10702a18703a20206a150
IndexName of files # of syllablesstyle of writing07a30017a9018a8019a15021a5022a12023a4024a16026a5027a262
Predictions of Ap from Higher Level information (B3, B4, B5)PPhBGPG
Distributions of Layered Contributions in Each Style (Male)Rhymed classical writing m056 regular semi-regular irregularWeather broadcast m054 (irregular)The more regular the style, the bigger the planning templates, and the more governing from higher level information
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RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
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BG0.1758515012
PG0.0028635669
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NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.7324688175
BG0.0707157574
PG0.0099063487
Sheet3
regular
Chart31
0.6032509753
0.0372496749
0.0207845687
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.6032509753
BG0.0372496749
PG0.0207845687
Sheet3
regular
Chart37
0.5036367355
0.1313055543
0.0089268341
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.5036367355
BG0.1313055543
PG0.0089268341
Sheet3
regular
Distributions of Layered Contributions in Each Style (Female)Rhymed classical writing f054 regular semi-regular irregularWeather broadcast f054(irregular)The more regular the style, the bigger the planning templates, and the more governing from higher level information
Chart32
0.3491999534
0.3872458708
0.0144871296
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.3491999534
BG0.3872458708
PG0.0144871296
Sheet3
regular
Chart34
0.4479185661
0.1321829073
0.0029375296
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.4479185661
BG0.1321829073
PG0.0029375296
Sheet3
regular
Chart35
0.6417318929
0.1289900699
0.0103207317
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.6417318929
BG0.1289900699
PG0.0103207317
Sheet3
regular
Chart36
0.6276715591
0.0500214486
0.0023423124
regular
Sheet1
1.100810.49696B4B5
0.784610.482151.100811.23486
1.007870.343660.784611.25293
0.798260.518461.007870.8624
1.234860.735860.798260.93157
0.76610.511620.76611.1001
0.73030.236580.73031.076372
1.024750.551161.024751.23486
0.930460.57750.930461.25293
0.925370.51560.925370.8624
1.002020.410571.002020.93157
1.252930.694180.726961.1001
0.726960.621740.838760.1572296584
0.838760.538181.00134
0.86240.619990.91702
1.001340.673760.91854
0.917020.286060.8447
0.918540.570731.13446
0.931570.413070.83847
0.844700.58703
1.134460.538670.8883068421
0.838470.601280.1360456822
1.10010.54867
0.587030.663960.88830684210.9997768049
0.16355643620.1634009246
0.92748708330.5062670833
Sheet2
Sheet3
RIR
AnalysisofVarianceForApAnalysisofVarianceForApAnalysisofVarianceForAp
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const137.416737.4167584.5?0.0001Const167.222467.2224988.01?0.0001Const128.007228.0072429.47?0.0001
PPh82.816580.3520725.4999?0.0001PPh569.825920.1754632.5789?0.0001PPh534.205160.07934261.21670.2694
Error825.249210.0640147Error17812.11090.0680385Error362.347670.0652131
Total908.06578Total23421.9368Total896.55283
0.34919995340.44791856610.6417318929
ANOVA
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
F-ratioProb
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquare
Const18.45E-318.45E-313.02E-291Const15.04E-325.04E-321.20E-301Const14.93E-314.93E-312.26E-291
BG143.123440.2231037.9763?0.0001BG142.899620.2071164.9467?0.0001BG208.45E-014.23E-021.94E+000.0225
Error762.125770.0279707Error2209.211230.0418692Error691.502420.0217742
Total905.24921Total23412.1109Total892.34767
0.59503049030.23942646710.3600378247
AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const13.25E-323.25E-321.43E-301Const15.25E-355.25E-351.33E-331Const17.96E-337.96E-334.83E-311
P_F20.1168520.05842622.55930.0831P_F20.06443580.03221790.817180.4429P_F20.06762520.03381262.05030.1349
Error882.008920.0228286Error2329.146790.0394258Error871.434790.0164919
Total902.12577Total2349.21123Total891.50242
0.05496831740.00699580840.045014044
FrPPhBGPGmrPPhBGPGirPPhBGPG
Error5.249212.125772.00892Error12.11099.211239.14679Error2.347671.502421.43479
Total8.065785.249212.12577Total21.936812.11099.21123Total6.552832.347671.50242
Contribution0.34919995340.38724587080.0144871296Contribution0.44791856610.13218290730.0029375296Contribution0.64173189290.12899006990.0103207317
M&F
FrmrirPPhrmrirAverage
PPh0.34919995340.44791856610.6417318929F0.34919995340.44791856610.64173189290.4796168041
BG0.38724587080.13218290730.1289900699M0.44713123880.50363673550.73246881750.5610789306
PG0.01448712960.00293752960.0103207317
Total0.75093295380.5830390030.78104269450.7050048838BGrmrirAverage
F0.38724587080.13218290730.12899006990.216139616
MrmrirM0.17585150120.13130555430.07071575740.1259576043
PPh0.44713123880.50363673550.7324688175
BG0.17585150120.13130555430.0707157574PGrmrirAverage
PG0.00286356690.00892683410.0099063487F0.01448712960.00293752960.01032073170.0092484636
Total0.62584630680.6438691240.81309092360.6942687848M0.00286356690.00892683410.00990634870.0072322499
WBf
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const1218.992218.9924869.3?0.0001Const14.74E-294.74E-292.06E-271Const18.39E-328.39E-323.71E-301
PPh30631.31240.1023282.2753?0.0001pib192.495450.1313395.7179?0.0001ppg330.5826840.01765710.781660.8061
Error41318.57420.044974Error70016.07880.0229697Error68615.49610.0225891
Total71949.8866Total71918.5742Total71916.0788
rPPhBGPG
Error18.574216.07882.00892
Total49.886618.57422.12577
Contribution0.62767155910.05002144860.0023423124
WBM
AnalysisofVarianceForApAnalysisofVarianceForresiduals(LM)AnalysisofVarianceForresiduals(LM)
NoSelectorNoSelectorNoSelector
SourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProbSourcedfSumsofSquaresMeanSquareF-ratioProb
Const175.269175.26911829.7?0.0001Const12.44E-302.44E-301.07E-281Const11.96E-311.96E-318.88E-301
PPh30127.83410.09247192.2479?0.0001pib191.718670.09045623.9646?0.0001ppg380.9590440.0252381.14330.2579
Error44518.3060.041137Error72716.58730.0228161Error70815.62830.0220738
Total74646.14Total74618.306Total74616.5873
rPPhBGPG
Error18.30616.587315.6283
Total46.1418.30616.5873
Contribution0.60325097530.03724967490.0207845687
M&F
FrmrirWBPPhrmrirWBAverage
PPh0.34919995340.44791856610.64173189290.6276715591female0.34919995340.44791856610.64173189290.62767155910.4796168041
BG0.38724587080.13218290730.12899006990.0500214486male0.44713123880.50363673550.73246881750.60325097530.5610789306
PG0.01448712960.00293752960.01032073170.0023423124
Total0.75093295380.5830390030.78104269450.7050048838
MrmrirWBBGrmrirWBAverage
PPh0.44713123880.50363673550.73246881750.6032509753female0.38724587080.13218290730.12899006990.05002144860.216139616
BG0.17585150120.13130555430.07071575740.0372496749male0.17585150120.13130555430.07071575740.03724967490.1259576043
PG0.00286356690.00892683410.00990634870.0207845687
Total0.62584630680.6438691240.81309092360.6942687848
PGrmrirWBAverage
female0.01448712960.00293752960.01032073170.00234231240.0092484636
male0.00286356690.00892683410.00990634870.02078456870.0072322499
Mregular
PPh0.6276715591
BG0.0500214486
PG0.0023423124
Sheet3
regular
PPh Contributions in Different Styles
PPhrsmrirrWBfemale0.34920.4479190.6417320.627672male0.44713120.5036370.7324690.603251
Chart2
0.34920.4471312
0.4479190.503637
0.6417320.732469
female
male
Sheet1
PPhrsmrirr
female0.34920.4479190.641732
male0.44713120.5036370.732469
Sheet1
female
male
Sheet2
Sheet3
Contributions of BG Layer in Different Styles
BGrsmrirrWBfemale0.38724590.1321830.128990.050021male0.17585150.1313060.0707160.03725
Chart3
0.38724590.1758515
0.1321830.131306
0.128990.070716
female
male
Sheet1
BGrsmrirr
female0.38724590.1321830.12899
male0.17585150.1313060.070716
Sheet1
female
male
Sheet2
Sheet3
Conclusions
1. Lexical, syntactic and discourse prosody ALL contribute to output prosody. Interactions are necessary, systematic and predictable from higher level considerations.HPG accounts for prosody of fluent continuous speech.
2. How a semantic complete speech paragraph begins, holds and ends across the phrases within is specified by HPG related positions:PG-Initial, PG-Medial and PG-final
3. Further evidences from Mandarin rhymed classics substantiated HPG as a base form for both planning and processing of fluent speech prosody.
4. Stylistic variations are built on the same base form with varied contribution distribution.
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