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

Auteurs-es

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

Mots-clés :

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

Résumé

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.

Fichiers supplémentaires

Publié-e

2002-09-01

Comment citer

1.
Gerhard D. Pitch-based acoustic feature analysis for the discrimination of speech and monophonic singing. Canadian Acoustics [Internet]. 1 sept. 2002 [cité 8 mai 2026];30(3):152-3. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1500

Numéro

Vol. 30 No. 3 (2002)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

Licence

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