First International Conference on Spoken Language Processing (ICSLP 90)
We describe a broad phonetic classification and segmentation algorithm based on auditory modelling, neural networks and dynamic programming. As the basics are outlined in another paper , we here focuss on some new elements such as the introduction of auditory model features and durational constraints, and the use of different sets of broad phonetic classes. Furthermore, we have carried out experiments to test the robustness of our algorithm against new speakers and new vocabularies.
Bibliographic reference. Depuydt, Lieven / Martens, Jean-Pierre / Immerseel, Luc Van / Weymaere, Nico (1990): "Improved broad phonetic classification and segmentation with a neural network and a new auditory model", In ICSLP-1990, 1041-1044.