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基于hmm模型的语音识别的结构参数初始化的源代码-based on the model of the structure of Speech Recognition parameters initialization source code
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在基于hmm的语音识别中计算前向概率，后向概率以及各种参数结构的源代码。-based on voice recognition to the calculation of the probability that after the probability of various parameters of the structure of the source code.
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基于临界带能量特征的语音识别技术研究,单片结构原理图。请支持，-with energy based on the critical characteristics of voice recognition technology, monolithic structure diagram. Please support, I thank
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识别正确率和抗噪性能是语音识别的研究重点，而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算
法结构，将其应用于实时说话人辨识系统中，极大地提高了系统运行速度，随着待识别语音数目的增多，该算法优势更加明显 实验表明，
在不影响系统识别率的情况下，该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
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CMU sphinx，是美国卡内基梅隆开发的开源语音识别系统，该程序用C编写，模块结构非常清晰，函数接口明了，非常适合用来进行二次开发。-CMU sphinx, is a Carnegie Mellon developed in open-source speech recognition system, the program is prepared to use C, the module structure is very clear, the function interface, cl
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语音识别相关的sci论文，包括
Production and perception of speaker-specific phonetic detail
Self-learning speaker identification for enhanced speech recognition
Sources ofillusioninconsonantclusterperception
Speech listening specifically modulates the exci
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Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of Markov source or hidden Markov modeling have become increasingly popular in the last several years. There are two strong reasons why this has occurred
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大词汇量语音识别系统，可以识别连续语音，是美国卡内基梅隆开发的开源语音识别系统，该程序用C编写，模块结构非常清晰，函数接口明了-Large vocabulary speech recognition system can recognize continuous speech, Carnegie Mellon developed open source speech recognition system, the program is written in C, the module struc
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