Output-based sound quality evaluation using statistical model method

Auteurs-es

  • Guo Chen Faculties of Health Sciences and Engineering, Elborn College, University of Western Ontario, Ont. N6G 1H1, Canada
  • Vijay Parsa Faculties of Health Sciences and Engineering, Elborn College, University of Western Ontario, Ont. N6G 1H1, Canada

Mots-clés :

Acoustic waves, Sensory perception, Speech analysis, Statistical methods, Input signal, Speech quality, Speech signal, Statistical pattern

Résumé

A novel output-based evaluation technique by employing statistical pattern classification to imitate subjects behavior in a subjective listening-opinion test was developed. The subjects in a listening test do in fact perform a quality pattern classification process in terms of their perception of the speech signal. The process of a listening test, the subjects listen only to the output speech signal of the system under test, not hear the original input signal. The results show the ability of proposed method to predict speech quality scores without any reference signal.

Fichiers supplémentaires

Publié-e

2005-09-01

Comment citer

1.
Chen G, Parsa V. Output-based sound quality evaluation using statistical model method. Canadian Acoustics [Internet]. 1 sept. 2005 [cité 13 mai 2026];33(3):50-1. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1740

Numéro

Vol. 33 No. 3 (2005)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

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