Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing

Authors

  • David Gerhard Computing Science, Simon Fraser University, 8888 University, Dr., Burnaby, BC, V5A 1S6, Canada

Keywords:

Acoustic waves, Algorithms, Feature extraction, Mathematical models, Speech, Monophonic singing

Abstract

Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing was studied. The extraction models for features based on the fundamental frequency were also discussed. It was observed that a pitch-based feature that would seem useful in the speech/song task is pitch continuity.

Additional Files

Published

2002-09-01

How to Cite

1.
Gerhard D. Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing. Canadian Acoustics [Internet]. 2002 Sep. 1 [cited 2024 May 19];30(3):152-3. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1500

Issue

Section

Proceedings of the Acoustics Week in Canada