Hammerstein model for speech coding
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Variable Length Teager Energy Based Mel Cepstral Features for Identification of Twins
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Exploiting nonlinearity in adaptive signal processing
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Estimation of glottal closure instances from speech signals by weighted nonlinear prediction
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Some useful properties of Teager's energy operators
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Theorems for discrete filtered modulated signals
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Finding speech formants and modulations via energy separation: with application to a vocoder
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Stop classification using DESA-1 high-resolution formant tracking
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Effectiveness of Teager energy operator for epoch detection from speech signals
International Journal of Speech Technology
Nonlinear Speech Modeling and Applications
Hi-index | 0.00 |
An AM-FM model for representing modulations in speech resonances is investigated. Specifically, an FM model is proposed for the time-varying formants whose amplitude varies as the envelope of an AM signal. To detect the modulations the energy operator Psi ( chi ) and its discrete counterpart are applied. It is found that Psi can approximately track the envelope of AM signals, the instantaneous frequency of FM signals, and the product of these two functions in the general case of AM-FM signals. Several experiments on the application of this AM-FM modeling to speech signals, band pass filtered via Gabor filters are reported.