Extracting semantically-coherent keyphrases from speech

Authors

  • Diana Inkpen Sch. of Info. Technology and Eng., University of Ottawa, 800 King Edward St., Ottawa, Ont. K1N6H5, Canada
  • Alain Désilets Institute for Information Technology, National Research Council, 1200 Montreal Rd., Ottawa, Ont. K1AOR6, Canada

Keywords:

Algorithms, Audio systems, Broadcasting, Error analysis, Semantics, Speech, Pointwise mutual information (PMI), Semantic coherence, Speech extractor systems, Word error rates (WER)

Abstract

A method for extracting keyphrase from spoken audio is discussed. The approach is based on the extractor system developed for text by Turney. The extractor uses a supervised learning approach to maximize the overlap between machine extracted and human extracted keyphrases. Each key word is detected with low similarity to its closest semantic neighbor, using an algorithm.

Additional Files

Published

2004-09-01

How to Cite

1.
Inkpen D, Désilets A. Extracting semantically-coherent keyphrases from speech. Canadian Acoustics [Internet]. 2004 Sep. 1 [cited 2024 Jul. 17];32(3):130-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1662

Issue

Section

Proceedings of the Acoustics Week in Canada