Non-reference Objective Quality Evaluation for Noise-Reduced Speech Using Overall Quality Estimation Model

Autor:	Yuki Kasuya, Nobuhiko Kitawaki, Takeshi Yamada, Yuki Shinohara
Rok vydání:	2010
Předmět:	Signal processing Computer Networks and Communications Computer science Speech recognition media_common.quotation_subject Noise reduction Feature extraction Contrast (statistics) Noise Point (geometry) Quality (business) Electrical and Electronic Engineering Sound quality Software media_common
Zdroj:	IEICE Transactions on Communications. :1367-1372
ISSN:	1745-1345 0916-8516
DOI:	10.1587/transcom.e93.b.1367
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::797cdd3c5d705e35bce9cad895318aba https://doi.org/10.1587/transcom.e93.b.1367 Zobrazit plný text záznamu