APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION
| Type of publication: | Conference paper |
| Citation: | Ganapathy_WASPAA2009-2_2009 |
| Booktitle: | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009, WASPAA '09. |
| Year: | 2009 |
| Month: | 10 |
| Location: | Mohonk Mountain House, New Paltz, New York, USA |
| Organization: | IEEE |
| Note: | Digital Object Identifier 10.1109/ASPAA.2009.534649 |
| URL: | http://www.waspaa2009.com... |
| Abstract: | 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. |
| Keywords: | |
| Projects: |
Idiap AMIDA DIRAC IM2 |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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