Description: ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马
尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用
于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别
率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recognition system can achieve better recognition results, based on Hidden Markov Model (HMM) of adaptive technology, put forward a maximum a posteriori probability (MAP) and Maximum Likelihood regression (MLLR) for the stress of the adaptive variation in voice. The experimental results show that compared with the basic system, both methods are effective to improve the system recognition rate. SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 . Platform: |
Size: 234496 |
Author:尹江波 |
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Description: G.723语音编码器是一种用于多媒体通信，编码速率为5.3kbits/s和6.3kbit/s的双码率编码方案。G.723标准是国际电信联盟（ITU）制定的多媒体通信标准中的一个组成部分，可以应用于IP电话等系统中。其中，5.3kbits/s码率编码器采用多脉冲最大似然量化技术（MP－MLQ），6.3kbits/s码率编码器采用代数码激励线性预测技术。-G.723 is a speech coder for multimedia communications, coding rate 5.3kbits/s and 6.3kbit/s dual-rate coding scheme. G.723 standard is the International Telecommunication Union (ITU) standard for multimedia communications in the development of a component can be used in IP telephony systems. Which, 5.3kbits/s bit rate coder using multi-pulse Maximum Likelihood Quantization (MP-MLQ), 6.3kbits/s bit rate coder uses Algebraic Code Excited Linear Prediction. Platform: |
Size: 16825344 |
Author:郝芸 |
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Description: 最大似然（ML）准则和最大后验概率（MAP）准则，通过反复训练模板能有较高的识别率，语音信号的采集与处理，数字信号处理课设。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Through repeated training hYAWUCalate have higher recognition rate, Acquisition and Processing of the speech signal, digital signal processing class-based. Platform: |
Size: 7168 |
Author:乔荣涛 |
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Search - maximum likelihood speech