REPORT Thomas_Idiap-RR-04-2009/IDIAP Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features Thomas, Samuel Ganapathy, Sriram Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/reports/2008/Thomas_Idiap-RR-04-2009.pdf PUBLIC Idiap-RR-04-2009 2009 Idiap March 2009 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.