First International Conference on Spoken Language Processing (ICSLP 90)

Kobe, Japan
November 18-22, 1990

Knowledge-Based Segmentation and Feature Maps for Speech Recognition

Franck Poirier

Telecom Paris, Paris, France

A system for multi-speaker letter recognition in the French alphabet is presented. The main characterictic of this system is to combine a knowledge-based segmentation with a connexionist classifier. The segmentation module detects, automatically for each letter, discriminant acoustic patterns. For the classification module, two different approachs are tested. One is unsupervised using Self-organizing Feature Maps ; while the other requires supervised training data using Linear Vector Quantization classifier. A problem called bord effect appears with the first classifier and mainly explains the recognition rate. Best results are obtained with a new version of the second classifier which improves the recognition rate of 10%.

Full Paper

Bibliographic reference.  Poirier, Franck (1990): "Knowledge-based segmentation and feature maps for speech recognition", In ICSLP-1990, 1357-1360.