SPECTRAL FEATURES OF PLOSIVES IN CONNECTED-SPEECH SIGNALS

It is increasingly argued that continuous speech recognition systems must integrate both knowledge-based and stochastic components to optimize performance. Spectrograms are a source of acoustic-phonetic information which can be interpreted with reference to an awareness of articulatory possibilities and some of this knowledge may be formalized in terms of rules. Spectrogram interpreters appear to use an internal hierarchy of cues which can be restructured and used as part of an integrated complex of cues for identification purposes. The Speech Knowledge Interface (SKI) is used to allow a domain expert to formalize such knowledge in a machine-robust and implementable manner. This paper reports experiments and results arising from the interactive use of SKI in the identification of the place of articulation of plosives. © 1993 Academic Press. All rights reserved.