DocumentCode
417722
Title
Perceptual model for non-intrusive speech quality assessment
Author
Kim, Doh-Suk ; Tarraf, Ahmed
Author_Institution
Lucent Technol., Whippany, NJ, USA
Volume
3
fYear
2004
fDate
17-21 May 2004
Abstract
In order to estimate the quality of degraded speech processed by communication networks, conventional objective speech quality assessment methods require the source speech signal, which has been applied to the networks, as well as the processed speech. The paper presents a new paradigm in objective speech quality assessment. In contrast to previous objective models, the proposed auditory non-intrusive quality estimation (ANIQUE) model estimates the quality of speech without using the source speech information. ANIQUE is a perceptual model which simulates the functional role of the human auditory system at both peripheral level and central auditory level. The performance of ANIQUE is demonstrated using 19 different subjective MOS databases.
Keywords
Internet telephony; channel bank filters; hearing; parameter estimation; quality of service; radiotelephony; speech processing; telephone networks; voice communication; PSTN; QoS; VoIP; articulation analysis; auditory nonintrusive quality estimation model; central auditory level; communication networks; critical-band filters; human auditory system; modulation filterbank; perceptual model; peripheral level; quality of service; source speech signal; speech quality assessment; wireless networks; Auditory system; Degradation; Filter bank; Humans; Internet telephony; Quality assessment; Quality of service; Signal processing; Speech processing; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326731
Filename
1326731
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