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Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been reported to improve the recognition of nonnative or accented speech. In this paper, we propose to analyze the regular pairs of the pronunciation variation of the nonnative Mandarin speech spoken by Dai, Lisu and Naxi speakers from Yunnan. According typical pronunciation variations of these 3 accents, the...
The baseline system PRLM has the best performance on NIST language recognition evaluation tasks. But this system needs orthographically or phonetically transcribed utterances which can not be easily obtained from Chinese dialects and minority languages. So, the PRLM system is not used to these languages. To overcome this limitation, we present the Gaussian mixture model recognizer followed by language-dependent...
In this paper, a Yunnan dialectal accents Putonghua speech corpus which collected by our lab is used in Yunnan dialectal Chinese speech recognition study. Several acoustic adaptation techniques are preformed to improve the recognition rate for accented speech and their performances are compared. Firstly, the baseline system is trained using the project 863psila standard Putonghua corpus, the recognition...
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