| Paper: | SLP-P12.5 | ||
| Session: | Speech Processing for Reverberation, Quantization and Enhancement | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Narrow-band Speech Coding | ||
| Title: | Enhanced Perceptual Model for Non-Intrusive Speech Quality Assessment | ||
| Authors: | Doh-Suk Kim, Ahmed Tarraf, Lucent Technologies, United States | ||
| Abstract: | In this paper, we propose a novel model for estimating the quality of speech without the reference speech information. The proposed auditory non-intrusive quality estimation plus (ANIQUE+) model is a perceptual model simulating the functional role of human auditory system, and employs improved modeling of quality estimation by statistical learning methods. Experimental evaluation demonstrated that the performance of the ANIQUE+ model is significantly superior to that of the current ITU-T standard recommendation P.563 on 34 different subjective mean opinion score (MOS) databases -- the averaged correlation between subjective and objective quality scores is about 0.97 for ANIQUE+, whereas P.563 shows 0.87 averaged correlation. | ||
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