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“A Smart Texting System” Presented by Mr. Sachin Deshmukh Guided By Prof.S.K.Sonkar A Seminar on

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Page 1: Speech to Text Ppt

“A Smart Texting System”

Presented byMr. Sachin Deshmukh

Guided ByProf.S.K.Sonkar

A Seminar on

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Presentation Flow

Introduction Literature SurveyChallengesAlgorithmsInternal Working Performance Parameters Of The System Advantages and DisadvantagesConclusionReferences

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Introduction Introduction and Motivation

History

Traditional Method

What is Smart Texting System?

What is Need of Smart Texting System?

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Overview Of A Smart Texting System

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Literature Survey

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1. A Smart Texting System For Android Mobile Users

Literature Survey

International Journal of Engineering Research and Applications (IJERA)Mar-Apr 2012.[1]

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2. Android Speech To Text Converter For SMS Application

Literature Survey

IOSR Journal of Engineering Mar. 2012.[2]

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3. Real Time Speech To Text Converter For Mobile Users

National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012).International Journal of Computer Applications (IJCA).[3]

Literature Survey

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Association for International Journal in Computer Science & Electronics Volume I Reference ID: aijcse2005.

Literature Survey

4. SMS Application Using Speech To Text Converter In Android Mobiles

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5. A Speech-To-Text System

CSI Communications May 2012. Article by Nishant Allawadi And Parteek Kumar.[5]

Literature Survey

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Challenges

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1.Text Normalization Challenges

Challenges

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2. Text-To-Phoneme Challenges

Challenges

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3. Evaluation challenges

Challenges

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AlgorithmConcatenative SynthesisUnit selection Synthesis Diaphone SynthesisDomain-Specific SynthesisFormant SynthesisArticulatory SynthesisHMM-Based SynthesisSine Wave Synthesis

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Speech Acquisition

Working

Speech Processing

HMM Training

HMM Based Recognition

Hidden Markov Model Text Storage

Speech To Text Conversion System

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Performance Parameters Of The System

Accuracy of RecognitionSpeed of Recognition

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Applications

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1. Healthcare

Applications

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2. Hands-Free Computing

Applications

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3. Home automation

Applications

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4. Speech To Text Convertor

Applications

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AdvantagesSpeech is a very natural way to interact, and

it is not necessary to sit at a keyboard or work with a remote control.

No training required for users! Assist persons with disabilities who may be

vision impaired by reading text

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DisadvantagesEven the best speech recognition systems sometimes make

errors. If there is noise or some other sound in the room (e.g. the television or a kettle boiling), the number of errors will increase.

Speech Recognition works best if the microphone is close to the user (e.g. in a phone, or if the user is wearing a microphone). More distant microphones (e.g. on a table or wall) will tend to increase the number of errors.

But speech recognition but the recognition fails because it requires preprocessing after acquiring of speech. The system requires training of voice because of the purpose of it should recognize the correct voice of that user. Suppose user A having this system in his mobile his voice should be train so as to get correct recognition of text.

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Future Scope

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Conclusion

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Reference [1] A paper on “Smart Texting System For Android Mobile Users”

International Journal of Engineering Research and Applications (IJERA)Mar-Apr 2012.

  [2] A paper on “Android Speech To Text Converter For Sms

Application” IOSR Journal of Engineering Mar. 2012.   [3] A paper on “Real Time Speech To Text Converter For Mobile Users”

National Conference on Innovative Paradigms in Engineering & Technology (NCIPET-2012). International Journal of Computer Applications (IJCA).

  [4] A paper on “Sms Application Using Speech To Text Converter In

Android Mobiles” Association for International Journal in Computer Science & Electronics Volume I Reference ID: aijcse2005.

  [5] A paper on “A Speech-To-Text System” CSI Communications May 2012.

Article by Nishant Allawadi And Parteek Kumar.

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Questions???

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Thank You.