Recognition of Speech using Temporal Decomposition

A natural approach to speech analysis is to attempt a segmentation of the speech signal into phoneme units. However, decomposition into phonemes is difficult, as they are context-dependent. Instead we propose a larger segmental unit, the “polysons” /BIM 86/.A technique is proposed for automatic labelling of speech, using a robust temporal decomposition, a technique originally proposed for speech coding. The spectral targets are evaluated by successive iterations on the computation of a set of compact interpolation functions, Ø(t), and corresponding spectra. These spectra are characterized by vectors of Log Area Ratios, LAR. A discussion on the choice of the representation may be found in /BIM 87/. Applications to speech recognition strategies are discussed.