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Speech recognition using H-Speech recognition using HMM
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语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。-The ultimate goal of speech recognition technology is to make computers and allowing other
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MATLAB编写的语音识别算法，中间有详细的代码注释，便于大家交流-Speech recognition algorithm written in MATLAB, the middle of a detailed code comments, easy to share
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鲁棒性好，性能优越，在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统。- Robustness, superior performance, Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system.
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Pisarenko谐波分解算法,在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统。- Pisarenko harmonic decomposition algorithm, Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system.
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在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统，基于欧几里得距离的聚类分析。- Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system, Clustering analysis based on Euclidean distance.
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完整的基于HMM的语音识别系统，在matlab环境中自动识别连通区域的大小,利用最小二乘算法实现对三维平面的拟合。- Complete HMM-based speech recognition system, Automatic identification in the matlab environment the size of the connected area, Least-squares algorithm to fit a three-dimensional plane.
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完整的基于HMM的语音识别系统，内含心电信号数据及运用MATLAB写的源代码，做视觉测量的上位机代码。- Complete HMM-based speech recognition system, ECG data and includes source code written in MATLAB, Do Vision Measurement PC code.
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