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High error rate in speech recognition is largely due to effects of phone local mismatch caused by unclear speaking or noises. In this paper, we propose an approach of using local mismatch phone to imp...
This paper discusses and evaluates a novel but simple and effective acoustic modeling method called ‘‘state-dependent phoneme-based model merging (SDPBMM)”, used to build dialectal Chinese speech reco...
Phonetic differences always exist between any Chinese dialect and standard Chinese ( Putonghua). In this paper, a method,named automatic dialect-specific Initial/Final (IF) generation,is proposed to d...
This study deals with the decision tree based state tying method for acoustic modeling in Chinese Speech Recognition. In this paper, the definition of the context dependent Ini...
This paper describes the new framework of context-dependent(CD) Initial/Final (IF) acoustic modeling using the decision tree based state tying for continuous Chinese speech recognition. The Extended I...
In this paper, an approach to continuous sp eech recognition based on a two-layer lexical tree is proposed. The search network is maintained by the two-layer lexical tree, in which the first layer ref...
The previously proposed syllable-synchronous network search (SSNS) algorithm plays a very important role in the word decoding of the continuous Chinese speech recognition and achieves a satisfying per...
A novel acoustic modeling method for Chinese speech recognition based on Intra-Syllable Dependent Phone (ISDP) set is proposed and practiced. The ISDP set extends the traditional phone set based on th...
The Chinese language is syllabic in nature with frequent homonym phenomena and severe word boundary uncertainty problem. This makes the Chinese continuous speech recognition(CSR) slightly difficult. I...

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