Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models

Shashidhar G. Koolagudi; Sujata Negi Thakur; Anurag Barthwal; Manoj Kumar Singh; Ramesh Singh Rawat; K. Sreenivasa Rao

doi:10.1007/978-3-642-32112-2_21

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Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models

Shashidhar G. Koolagudi Sujata Negi Thakur Anurag Barthwal Manoj Kumar Singh Ramesh Singh Rawat K. Sreenivasa Rao

Year: 2012 Communications in computer and information science Pages: 170-177 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-32112-2_21

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Keywords:

Vowel Speech recognition Mel-frequency cepstrum Computer science Speaker recognition Mixture model Microphone Artificial intelligence Feature extraction Telecommunications

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Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models

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