Experiments in the Automatic Segmentation of Continuous Speech

Automatic segmentation of continuous speech is an important operation of the acoustic classifier of a speech understanding system.

The paper presents the results of a segmentation algorithm based on the linguistic description of global spectral features and suprasegmentals of speech.

A syntax-controlled analysis of these descriptions permits the detection of segments of continuous speech where co-articulation affects the pronunciation of several phonemes.