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Voiceprint Recognition Based On Oral Mandarin Chinese Evaluation System Of Research And Implementation

Posted on:2012-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:K HouFull Text:PDF
GTID:2248330374490218Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the computer technology and the rapid development of voice recognitiontechnology, in the field of experimental phonetics research among the people to use computerassisted learning and evaluation of oral teaching of intelligent speech, also highlighted thestate. Purpose of this study is to combine the sound pattern recognition and speechrecognition technology, by extracting features of both voice print speaker to emphasize thespeaker individuality but also highlight similarities, the system uses HMM and ANN-basedscoring system, designed and simulated a Mandarin evaluation System software, enableslearners to receive timely and effective feedback on language learning, the similarity ofwaveforms by the spectrum of their sound quality of a given level of assessment to improvetheir learning interests and efficiency. At the same time, taking into account the variability intime people talk of flexibility, with comprehensive analysis of the modern Western languageand Mandarin Chinese characteristics, targeted to different methods of speech recognitionprograms conducted in-depth research.1. in the acoustic field, using a combination of HMM and ANN hybrid modelingtechniques, the use of hidden node pruning algorithm, mixed model parameters using neuralnetwork probabilistic model of non-Gaussian mixture model instead of the requiredcalculation of HMM state observation probabilities, in matlab Environment of the neuralnetwork is optimized to detect good effect.2. In the field of linguistics, in particular, the evaluation system for Mandarin syllablestructure model implementation in doing research, because Mandarin is a tonal language,Mandarin Chinese and therefore hierarchical identification strategy used, and the paralleloptimization algorithms, and optimization The query mechanism and the forward andbackward algorithms. Test showed that the method achieved very good results, the recognitionspeed has been greatly improved.The simulation through the system, the establishment of a more comprehensive oralevaluation of the management mechanism, the interaction is good, and regardless of location,to avoid the lack of teacher resources to address the needs of a large number of practicalaspects of teaching, the limitations of human problems, To improve the assessment rate, thefairness of the evaluation of a combination of factors to consider the case of the test resultsmake SPEAKING manual testing prior to the provinces than the average rate fell by30percentage points.
Keywords/Search Tags:Voiceprint recognition, Hidden nodes pruning algorithm, Verbal correction, Hierarchical strategy, Parallel Optimization
PDF Full Text Request
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