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http://dx.doi.org/10.6109/jkiice.2016.20.3.464

A New Speech Quality Measure for Speech Database Verification System  

Ji, Seung-eun (Department of Computer Science & Engineering, Incheon National University)
Kim, Wooil (Department of Computer Science & Engineering, Incheon National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.3, 2016 , pp. 464-470 More about this Journal
Abstract
This paper presents a speech recognition database verification system using speech measures, and describes a speech measure extraction algorithm which is applied to this system. In our previous study, to produce an effective speech quality measure for the system, we propose a combination of various speech measures which are highly correlated with WER (Word Error Rate). The new combination of various types of speech quality measures in this study is more effective to predict the speech recognition performance compared to each speech measure alone. In this paper, we increase the system independency by employing GMM acoustic score instead of HMM score which is obtained by a secondary speech recognition system. The combination with GMM score shows a slightly lower correlation with WER compared to the combination with HMM score, however it presents a higher relative improvement in correlation with WER, which is calculated compared to the correlation of each speech measure alone.
Keywords
Word error rate; Correlation coefficient; Performance prediction; Speech recognition; Speech quality measure;
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