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@TECHREPORT{Thomas_Idiap-RR-04-2009,
                      author = {Thomas, Samuel and Ganapathy, Sriram and Hermansky, Hynek},
                    projects = {AMIDA},
                       month = {3},
                       title = {Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features},
                        type = {Idiap-RR},
                      number = {Idiap-RR-04-2009},
                        year = {2009},
                 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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2008/Thomas_Idiap-RR-04-2009.pdf}
}