Spotting Prosodic Boundaries in Continuous Speech in French
V. Pagel, N. Carbonell, Y. Laprie, J. Vaissiere
Abstract
A radio speech corpus of 9mn has been prosodically marked by a phonetician expert, and non expert listeners. this corpus is large enough to train and test an automatic boundary spotting system, namely a time delay neural network fed with F0 values, vowels and pseudo-syllable durations. Results validate both prosodic marking and automatic spotting of prosodic events.
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