Speech Segments with Applications-I: General Approach and Application to Speech Recognition
V. Ralph Algazi, Kathy L. Brown, Michael J. Ready, David H. Irvine, C.L. Cadwell, Sang Hun Chung · 1993
Absmcr- We present in this series of two papers a new approach for modeling and capturing the time-varying structure of the spectral envelope of speech. In this approach, we use an acoustic subword decomposition and the Karhunen-Loeve transform (UT) to extract and efficiently represent the highly correlated structure of the spectral envelope. Integration of the UT with acoustic subword modeling is a novel approach that concisely represents both steady-state and dynamic features of the spectra in a unified framework that very effectively captures acoustic-phonetic patterns. The organization of these two papers is as follows: the first paper, Part I presents the physiological and perceptual basis for the approach, the frame-based and acoustic-subword-based spectral representation, and applications to speaker-dependent recognition. The performance of the recognition algorithm based on this approach compares favorably to other existing techniques. Part I1 will present a frequency-domain coding technique by analysidsynthesis. This application of the new method produces good quality speech at low bit rates.