EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


Plosive Spotting with Margin Classifiers

Joseph Keshet (1), Dan Chazan (2), Ben-Zion Bobrovsky (1)

(1) Tel Aviv University, Israel; (2) IBM Israel - Science and Technology, Israel

This paper presents a novel algorithm for precise spotting of plosives. The algorithm is based on a pattern matching technique implemented with margin classifiers, such as support vector machines (SVM). A special hierarchical treatment to overcome the problem of fricative and false silence detection is presented. It uses the loss-based multi-class decisions. Furthermore, a method for smoothing the overall decisions by sequential linear programming is described. The proposed algorithm was tested on the TIMIT corpus, which produced a very high spotting accuracy. The algorithm presented here is applied to plosives detection, but can easily be adapted to any class of phonemes.

Full Paper

Bibliographic reference.  Keshet, Joseph / Chazan, Dan / Bobrovsky, Ben-Zion (2001): "Plosive spotting with margin classifiers", In EUROSPEECH-2001, 1637-1640.