Non-reference Objective Quality Evaluation for Noise-Reduced Speech Using Overall Quality Estimation Model
Author(s) -
Takeshi Yamada,
Yuki Kasuya,
Yuki Shinohara,
Nobuhiko Kitawaki
Publication year - 2010
Publication title -
ieice transactions on communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.211
H-Index - 56
eISSN - 1745-1345
pISSN - 0916-8516
DOI - 10.1587/transcom.e93.b.1367
Subject(s) - computer science , quality (philosophy) , noise (video) , speech recognition , quality score , estimation , sound quality , artificial intelligence , philosophy , management , epistemology , economics , image (mathematics) , metric (unit) , operations management
This paper describes non-reference objective quality evaluation for noise-reduced speech. First, a subjective test is conducted in accordance with ITU-T Rec. P.835 to obtain the speech quality, the noise quality, and the overall quality of noise-reduced speech. Based on the results, we then propose an overall quality estimation model. The unique point of the proposed model is that the estimation of the overall quality is done only using the previously estimated speech quality and noise quality, in contrast to conventional models, which utilize the acoustical features extracted. Finally, we propose a non-reference objective quality evaluation method using the proposed model. The results of an experiment with different noise reduction algorithms and noise types confirmed that the proposed method gives more accurate estimates of the overall quality compared with the method described in ITU-T Rec. P.563
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