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 [BibTeX] [Marc21]
Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features
Type of publication: Idiap-RR
Citation: Thomas_Idiap-RR-04-2009
Number: Idiap-RR-04-2009
Year: 2009
Month: 3
Institution: Idiap
Abstract: We present a new feature extraction technique for phoneme recognition that uses short-term spectral envelope and modulation frequency features. These features are derived from sub-band temporal envelopes of speech estimated using Frequency Domain Linear Prediction (FDLP). While spectral envelope features are obtained by the short-term integration of the sub-band envelopes, the modulation frequency components are derived from the long-term evolution of the sub-band envelopes. These features are combined at the phoneme posterior level and used as features for a hybrid HMM-ANN phoneme recognizer. For the phoneme recognition task on the TIMIT database, the proposed features show an improvement of 4.7% over the other feature extraction techniques.
Projects AMIDA
Authors Thomas, Samuel
Ganapathy, Sriram
Hermansky, Hynek
Added by: [ADM]
Total mark: 0
  • Thomas_Idiap-RR-04-2009.pdf (MD5: da830bbec5f9db9d78f3c798177f9c6b)