Search for Keywords and Vocal Elements in Audio Recordings

Authors

  • M. Sigmund Brno University of Technology

DOI:

https://doi.org/10.5755/j01.eee.19.9.5652

Keywords:

Speech processing, pattern recognition, speech analysis, algorithms

Abstract

This paper deals with search for keywords and non-verbal vocal elements in audio recordings. An efficient detection of specific words or sounds embedded in continuous speech is based on isolated word recognition approaches. The mel-frequency cepstral coefficients and more combinations of predictive coefficients and autocorrelation coefficients were evaluated. A keyword or key sound slides along the stored speech and in each of its positions a distance (i.e., similarity) to the corresponding speech segment is computed. We found an efficient distance measure for non-verbal sound search. The average detection rates achieved 93 percent in keyword search and 74 percent in non-verbal sound search. A system developed for automatic search in audio files is presented.

DOI: http://dx.doi.org/10.5755/j01.eee.19.9.5652

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Published

2013-11-07

How to Cite

Sigmund, M. (2013). Search for Keywords and Vocal Elements in Audio Recordings. Elektronika Ir Elektrotechnika, 19(9), 71-74. https://doi.org/10.5755/j01.eee.19.9.5652

Issue

Vol. 19 No. 9 (2013)

Section

SIGNAL TECHNOLOGY

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