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Abstract

A speech analysis system 10 incorporates a filterbank analyser 18 producing successive frequency data vectors for a speech signal from two speakers. From each data vector, units 22A and 22B produce a set of modified data vectors compensated for differing forms of distortion associated with respective speakers. A computer 24 matches modified data vectors to hidden Markov model states. It identifies the modified data vector in each set exhibiting greatest matching probability, the model state matched therewith, the form of distortion with which it is associated and the model class, ie speech or noise. The matched model state has a mean value providing an estimate of its associated data vector. The estimate is compared with its associated data vector, and their difference is averaged with others associated with a like form of distortion in an infinite impulse response filter bank 48A or 48B to provide compensation for that form of distortion. Averaged difference vectors provide compensation for multiple forms of distortion associated with respective speakers.

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