Description: 用matlab编写的基于hmm模型的语音识别程序，但是调试好像有些问题，欢迎指正:)-prepared using Matlab model based hmm voice identification procedures, but there seems to be some debugging, and welcomes the correction :) Platform: |
Size: 329728 |
Author:dorothy |
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Description: 用于语音识别，基于HMM模型，用C++语言编写。可用连续语音识别-It is based on HMM Model and developed with C++ which could be used to continuous speech recognition. Platform: |
Size: 1539072 |
Author:吴昊 |
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Description: 基于HMM的语音识别matlab软件，可防止数据溢出等错误-This speech recognition software based on HMM algorithm.It can prevent many errors such as data overflow effectively. Platform: |
Size: 71680 |
Author:吴昊 |
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Description: 利用hmm的孤立字（词）语音识别系统，经典的算法，没有图形界面，需要的可以完善一下。-use hmm isolated words (words) speech recognition system, the classical algorithm, no graphical interface, need to be perfect in this. Platform: |
Size: 268288 |
Author:张维镇 |
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Description: 语音会识别的HMM模型工具，函数全面功能强大，是研究语音识别相关课题的必备工具。-Speech recognition HMM will model tool, a comprehensive powerful function is to examine issues related to speech recognition tool. Platform: |
Size: 36864 |
Author: |
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Description: 基于HMM的语音识别的资料，希望对大家有所帮助。-HMM-based speech recognition information, and they hope to be helpful to everyone. Platform: |
Size: 448512 |
Author:黄卓芬 |
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Description: 自己编写的语音识别程序-基于隐马尔可夫模型的语音识别-I have written the speech recognition program- Based on Hidden Markov Model Speech Recognition Platform: |
Size: 5120 |
Author:小苗 |
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Description: MATLAB环境下的基于HMM模型的语音识别系统-MATLAB environment model based on HMM Speech Recognition System Platform: |
Size: 209920 |
Author:xiaoyv123 |
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Description: 阴马尔可夫模型的实现，还有一些例子，文件较多，可用与HMM的语音识别-The realization of Markov model overcast, there are some examples, the document more usable and HMM Speech Recognition Platform: |
Size: 36864 |
Author:cao |
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Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Size: 2658304 |
Author:宋小小 |
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Description: speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b] Platform: |
Size: 10031104 |
Author:kani |
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Search - speech recognition hmm matlab