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Published in:
2006 | OriginalPaper | Chapter
Distributed Speech Recognition of Mandarin Digits String
Authors : Yih-Ru Wang, Bo-Xuan Lu, Yuan-Fu Liao, Sin-Horng Chen
Published in: Chinese Spoken Language Processing
Publisher: Springer Berlin Heidelberg
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In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of the pitch detection algorithm degraded seriously when the SNR of speech signal was lower than 10dB. This makes the recognizer using pitch information perform inferior to the original recognizer without using pitch information in low SNR environments. A modification of the pitch detection algorithm is therefore proposed to improve the performance of pitch detection in low SNR environments. The recognition performance can be improved for most SNR levels by integrating the recognizers with and without using pitch information. Overall recognition rates of 82.1% and 86.8% were achieved for clean and multi-condition training cases.