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http://dx.doi.org/10.7840/kics.2016.41.10.1183

Intelligibility Improvement of Low Bit-Rate Speech Coder Using Stochastic Spectral Equalizer  

Lee, Jeong Hun (Department of Electronic Engineering, Seoul National University of Science and Technology)
Yun, Deokgyu (Department of Electronic Engineering, Seoul National University of Science and Technology)
Choi, Seung Ho (Department of Electronic and IT Media Engineering, Seoul National University of Science and Technology)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.10, 2016 , pp. 1183-1185 More about this Journal
Abstract
Low bit-rate speech coder in digital speech communications synthesizes speech using vocal tract model parameters. In this case, the spectra of the synthesized speech can be much distorted since the allocated bits for the parameters are considerably limited, which results in the degradation of speech intelligibility. In this paper, we propose a speech intelligibility improvement method using stochastic spectral equalizer. This method stochastically obtains the weight vector of each speech coder using spectral ratios between original and synthesized speech, then applies this weight vector to synthesized speech. From the experiments of objective speech intelligibility tests, we found that the performance of the proposed method is better than that of the conventional method.
Keywords
Stochastic spectral equalizer; Low bit-rate speech coder; Speech intelligibility;
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Times Cited By KSCI : 1  (Citation Analysis)
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