M.E Computer Science Audio Signal Processing Projects Web : www.kasanpro.com Email : [email protected] List Link : http://kasanpro.com/projects-list/m-e-computer-science-audio-signal-processing-projects Title :Representation of Musical Rhythm and its Classification System Based on Mathematical and Geometrical Analysis Language : Matlab Project Link : http://kasanpro.com/p/matlab/musical-rhythm-representation-classification-system Abstract : One of the fundamental elements of music is rhythm and a rhythm is nothing but a combination of some claps and waves. Every pieces of music must follow some rhythms and music of different regions differs from each other. To identify the difference we have to retrieve the hidden rhythms of music and also have to identify its properties. A common way to represent a rhythm is as a binary format where '1' indicates a clap (sound) and '0' indicates a wave (silence). In this paper, mathematical and geometrical representation of rhythms is analyzed with a view to building a classification system that cans categories rhythms of various regions. Based on various distance matrices, Toussaint has shown a single polygonal model to classify Africa, Brazilian and Cuban rhythms. The same mechanism is followed and also applied on The North Indian rhythms, used in India and Bangladesh. In this paper, turning function, a function for polygon similarity measurement, is used to measure the distance among various rhythms. Various types of phylogenetic trees are also used to represent the graphical classification system. Single polygonal model to represent the rhythm is easier but there are some North Indian rhythms which are not possible to represent in that format. In this paper a multi polygonal model is proposed and shown its geometrical representation technique. Title :ANN Based Speech Emotion using Multi - Model Feature Fusion Language : Matlab Project Link : http://kasanpro.com/p/matlab/ann-based-speech-emotion-multi-model-feature-fusion Abstract : Emotion recognition of speech has gained increased attention in recent years. It is a procedure that converts a human's voice into an emotional symbol, such as anger, sadness, or happiness. Previous work on prosodic feature based are not sufficiently accurate. We focused on the multi model feature fusion of speech for emotion recognitions. In this approach we making the fusion feature of energy, pitch and mel - frequency cepstal co efficient. For the classification stage of the system, we processing two phases, phase one for the training and another one for the classification. Here artificial neural network is proposed for the training and classification. Since it is an multi feature set fusion it yields the good results comparing with the previous techniques for emotion detection.

M.E Computer Science Audio Signal Processing Projects

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M.E Computer Science Audio Signal Processing Projects

Web : www.kasanpro.com Email : [email protected]

List Link : http://kasanpro.com/projects-list/m-e-computer-science-audio-signal-processing-projects

Title :Representation of Musical Rhythm and its Classification System Based on Mathematical and GeometricalAnalysisLanguage : Matlab

Project Link : http://kasanpro.com/p/matlab/musical-rhythm-representation-classification-system

Abstract : One of the fundamental elements of music is rhythm and a rhythm is nothing but a combination of someclaps and waves. Every pieces of music must follow some rhythms and music of different regions differs from eachother. To identify the difference we have to retrieve the hidden rhythms of music and also have to identify itsproperties. A common way to represent a rhythm is as a binary format where '1' indicates a clap (sound) and '0'indicates a wave (silence). In this paper, mathematical and geometrical representation of rhythms is analyzed with aview to building a classification system that cans categories rhythms of various regions. Based on various distancematrices, Toussaint has shown a single polygonal model to classify Africa, Brazilian and Cuban rhythms. The samemechanism is followed and also applied on The North Indian rhythms, used in India and Bangladesh. In this paper,turning function, a function for polygon similarity measurement, is used to measure the distance among variousrhythms. Various types of phylogenetic trees are also used to represent the graphical classification system. Singlepolygonal model to represent the rhythm is easier but there are some North Indian rhythms which are not possible torepresent in that format. In this paper a multi polygonal model is proposed and shown its geometrical representationtechnique.

Title :ANN Based Speech Emotion using Multi - Model Feature FusionLanguage : Matlab

Project Link : http://kasanpro.com/p/matlab/ann-based-speech-emotion-multi-model-feature-fusion

Abstract : Emotion recognition of speech has gained increased attention in recent years. It is a procedure thatconverts a human's voice into an emotional symbol, such as anger, sadness, or happiness. Previous work onprosodic feature based are not sufficiently accurate. We focused on the multi model feature fusion of speech foremotion recognitions. In this approach we making the fusion feature of energy, pitch and mel - frequency cepstal coefficient. For the classification stage of the system, we processing two phases, phase one for the training and anotherone for the classification. Here artificial neural network is proposed for the training and classification. Since it is anmulti feature set fusion it yields the good results comparing with the previous techniques for emotion detection.

http://kasanpro.com/projects-list/m-e-computer-science-audio-signal-processing-projects

http://kasanpro.com/p/matlab/musical-rhythm-representation-classification-system

http://kasanpro.com/p/matlab/ann-based-speech-emotion-multi-model-feature-fusion