Cross-spectral methods with an application to speech processing

Details Cross-spectral methods with an application to speech processing Cross-spectral methods with an application to speech processing

Nov 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3807..552n&link_type=abstract

Proc. SPIE Vol. 3807, p. 552-563, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, Franklin T. Luk;

Computer Science

Scientific paper

We present a discussion of methods based on the complex cross- spectrum and the application of these methods to the analysis of speech. The cross spectral methods developed here are an extension of methods developed in the 1980s by one of the authors for accurately estimating stationary and cyclo-stationary parameters of signals buried deep in the noise. Since speech is non-stationary and therefore supports very little integration, the methods have been re-developed to address issues such as non-stationarity, harmonic structures and rapidly changing resonance Cross-spectral methods are presented as complex valued time-frequency surface methods which provide signal parameter estimation by taking advantage of signal structure. These methods have proven to be very powerful.

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