A computational model for MOS prediction

1999 IEEE Workshop on Speech Coding: Model, Coders, and Error Criteria, Proceedings

Volumn , Issue , 1999, Pages 141-143

  Kim, Doh Suk ^a   Ghitza, Oded ^a   Kroon, Peter ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; MAMMALS; SIGNAL TO NOISE RATIO; SPEECH CODING; SPEECH RECOGNITION;

AUDITORY SYSTEMS; BABBLE NOISE; CLEAN SPEECH; COMPUTATIONAL MODEL; EXPERIMENTAL EVALUATION; MAPPING FUNCTIONS; MEAN OPINION SCORES;

SPEECH;

EID: 64549092086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCFT.1999.781511     Document Type: Conference Paper

References (6)

1. J. G. Beerends and J. A. Stemerdink, "A perceptual speech-quality measure based on psychoacoustic sound representa-tion," J. Audio Eng. Soc, vol. 42, pp. 115-123, March 1994.
2. ITU-T Recommendation P.861, Objective Quality Measure-ment of Telephone-Band (300-3400 Hz) Speech Codecs. Geneva, 1996.
3. O. Ghitza, "Auditory nerve representation as a basis for speech processing," in Advances in Speech Signal Processing (S. Fu-nd and M. M. Sondhi, eds.), pp. 453-485, New York: Marcel Dekker, 1992.
4. D. S. Kim, S. Y. Lee, and R. M. Kil, "Auditory processing of speech signals for robust speech recognition in real-world noisy environments," IEEE Trans. Speech and Audio Process-ing, vol. 7, no. 1, pp. 55-69, 1999.
5. ITU-T STL96, ITU-T Software tool library. Geneva, May 1996.
6. ITU-T Recommendation P.810, Modulated Noise Reference Unit (MNRU), Feb. 1996.