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Research on Chinese Syllable Evaluation Approach after Automatic Speech Recogniton

Author: WangXingJian
Tutor: LiLei
School: Beijing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Post-processing of the speech recognition Pinyin syntax Knowledge Base The anchor word Error correction candidate words
CLC: TN912.34
Type: Master's thesis
Year: 2010
Downloads: 44
Quote: 1
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The rapid development of today 's speech recognition technology has begun to be applied in many fields , but many problems still exist . First , because of the background noise , speaking population of tone and expression are not standardized , and new words emerging , the correct rate of speech recognition in real environment has been less than satisfactory . Voice document retrieval began large-scale applications , many speech recognition after text requires extensive processing . Therefore , we take the post-processing of speech recognition results , in order to improve speech recognition effect . This thesis is mainly based on the robustness of the results of the Ministry of Education, Science and Technology Research Key Project \Complete a full speech recognition text processing system in the context of this project , information on the text-to-speech evaluation algorithm , in-depth study . The main contents of this article and work : 1 . Phonetic structures syntax Knowledge Base . Smooth introduction and comparative analysis of the phonetic N-gram model with data obtained more appropriate Chinese pinyin grammar model and data smoothing methods , and describes how to build a different syntax models and smoothing methods Pinyin Knowledge Base . 2. Anchor word speech recognition result positioning. The continuous phonetic N-gram model analysis and evaluation , summarize the corresponding law the auxiliary application Pinyin stability , and finally determine the anchor word . 3 error correction candidate recommended . This part describes Pinyin confusion rules corresponding similarity of phonetic and converted into a corresponding candidate word . Scoring candidate words , using phonetic similarity to measure the closeness of the original spelling . 4 . Algorithm is applied to the actual system . The practical application of the above algorithm to a complete speech recognition error detection and correction system , introduced its system framework and concrete realization explained in this work in which play the role of the comparative analysis of the effect of the actual application .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing > Speech Recognition and equipment
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