Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

A Time-Frequency Analysis Technique for Speech Recognition Signal Processing

Adam B. Fineberg, Kevin C. Yu

Apple Computer, Inc., One Infinite Loop, Cupertino, CA, USA

The most widely used technique to estimate the time-frequency representation of a discrete speech signal is the spectrogram. A technique based upon Cohen's class of generalized time frequency representations (TFR) is proposed herein and a technique for using this representation in a speech recognition system is described. The kernel design considerations used for analyzing speech signals and their rationale are detailed. Several well-known kernel functions as well as several novel kernel functions are studied. The TFR based coefficients are used to train and test the Apple Computer PlainTalk (TM) speech recognition system. A significant reduction in both the sentence and word error rates are shown.

Full Paper

Bibliographic reference.  Fineberg, Adam B. / Yu, Kevin C. (1994): "A time-frequency analysis technique for speech recognition signal processing", In ICSLP-1994, 1615-1618.