DocumentCode :
417450
Title :
Novel approach to AM-FM decomposition with applications to speech and music analysis
Author :
Sekhar, S. Chandra ; Sreenivas, T.V.
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Volume :
2
fYear :
2004
fDate :
17-21 May 2004
Abstract :
We present a new zero-crossing based algorithm for decomposing a bandpass signal into the amplitude modulation (AM) and frequency modulation (FM) components. In this sequential algorithm, the FM component is first estimated using zero-crossing instant information in a k-nearest neighbour (k-NN) framework. The AM component is estimated by coherent demodulation using a time-varying lowpass filter that uses the estimated instantaneous frequency. Simulation results show that the proposed algorithm gives more accurate envelope and frequency estimates compared to the discrete-energy separation algorithm (DESA) which uses the Teager energy operator. Using the proposed approach on bandpass filtered speech and music, we can extract the fine-structured modulations that occur on a micro-time scale, within an analysis frame.
Keywords :
amplitude estimation; amplitude modulation; audio signal processing; demodulation; frequency estimation; frequency modulation; low-pass filters; music; sequential estimation; speech processing; time-varying filters; AM-FM decomposition; Teager energy operator; amplitude modulation; bandpass signal decomposition; coherent demodulation; discrete-energy separation algorithm; frequency modulation; instantaneous frequency estimation; k-nearest neighbour framework; micro-time scale; music analysis; sequential algorithm; speech analysis; time-varying filter; time-varying lowpass filter; zero-crossing algorithm; Amplitude modulation; Band pass filters; Demodulation; Frequency estimation; Frequency modulation; Multiple signal classification; Signal processing; Signal synthesis; Speech analysis; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326367
Filename :
1326367
Link To Document :
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