Second International Conference on Spoken Language Processing (ICSLP'92)

Banff, Alberta, Canada
October 13-16, 1992

Speech Understanding Strategies Based on String Classification Trees

Renato De Mori, R. Kuhn

School of Computer Science, McGill University, Montreal, Quebec, Canada

This paper describes two strategies, operating at different levels of speech, which exploit special characteristics of the speech understanding task; both involve word islands within an utterance. First, a new upper bound based on the probability of the best possible parse is proposed for scoring partial interpretations of an acoustic signal. Subsequently, the paper describes a method of automating rule discovery for semantic parsers. The rules are incorporated in a structure called a String Classification Tree and involve patterns of key words; they are robust in the presence of production and recognition errors.

Full Paper

Bibliographic reference.  Mori, Renato De / Kuhn, R. (1992): "Speech understanding strategies based on string classification trees", In ICSLP-1992, 441-448.