Output-based sound quality evaluation using statistical model method

Authors

  • 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

Keywords:

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

Abstract

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.

Additional Files

Published

2005-09-01

How to Cite

1.
Chen G, Parsa V. Output-based sound quality evaluation using statistical model method. Canadian Acoustics [Internet]. 2005 Sep. 1 [cited 2024 Oct. 5];33(3):50-1. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1740

Issue

Vol. 33 No. 3 (2005)

Section

Proceedings of the Acoustics Week in Canada

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