CONF Ganapathy_WASPAA2009-2_2009/IDIAP APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION Ganapathy, Sriram Thomas, Samuel Motlicek, Petr Hermansky, Hynek IEEE - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009, WASPAA '09. Mohonk Mountain House, New Paltz, New York, USA 2009 October 2009 341-344 Digital Object Identifier 10.1109/ASPAA.2009.534649 http://www.waspaa2009.com URL Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segments (1000 ms) of the input signal are decomposed into a set of sub-bands. FDLP is applied on each sub-band to model the temporal envelopes. The residual of the linear prediction represents the frequency modulations (FM) in the sub-band signal. In this paper, we present several applications of the proposed AM-FM decomposition technique for a variety of tasks like wide-band audio coding, speech recognition in reverberant environments and robust feature extraction for phoneme recognition.