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.

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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 2023 Sep. 26];32(3):130-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1662

Issue

Vol. 32 No. 3 (2004)

Section

Proceedings of the Acoustics Week in Canada

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