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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.
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Size: 1538942 |
Author: 吴昊 |
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Description: 隐马项目\\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识
-Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
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Size: 2395529 |
Author: frank |
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Description: 隐马尔科夫模型工具箱,可以广泛应用于识别等领域-HMM Toolbox, can be widely applied in areas such as identification
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Size: 1831193 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱windows可执行版本,可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification
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Size: 2297059 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱使用样本文件,可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification
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Size: 2248630 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱最新版本,可以广泛应用于识别等领域-HMM Toolbox latest version can be widely applied in areas such as identification
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Size: 1853840 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱最新版本使用样本文件,可以广泛应用于识别等领域-HMM Toolbox samples using the latest version of documents can be widely applied in areas such as identification
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Size: 2250780 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱,可以广泛应用于识别等领域-HMM Toolbox, can be widely applied in areas such as identification
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Size: 1830912 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱windows可执行版本,可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification
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Size: 2296832 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱使用样本文件,可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification
Platform: |
Size: 2248704 |
Author: 李乔 |
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Description: 隐马尔科夫模型工具箱最新版本,可以广泛应用于识别等领域-HMM Toolbox latest version can be widely applied in areas such as identification
Platform: |
Size: 1853440 |
Author: 李乔 |
Hits:
Description: 隐马尔科夫模型工具箱最新版本使用样本文件,可以广泛应用于识别等领域-HMM Toolbox samples using the latest version of documents can be widely applied in areas such as identification
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Size: 2250752 |
Author: 李乔 |
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Description: 语音信号处理工具包,是日本的一个大学开发的,对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.
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Size: 147456 |
Author: 吕学刚 |
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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: 隐马项目\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识
-Hidden projects \ HTK-samples- 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
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Size: 2395136 |
Author: frank |
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Description: HTK工具的可视化实例,解决进程通信、多线程等问题。该实例仅实现HVITE的可视化。运行时需要相关词典、hmmdefs等文件。-HTK tools visualization example, the settlement process communication, multi-threaded and so on. The examples only HVITE realize the visualization. Relevant to the needs of run-time dictionary, hmmdefs and other documents.
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Size: 48128 |
Author: 宝宝 |
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Description: 剑桥大学开发的hmm的工具包,引用于语音识别,是现在流行的工具
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Size: 6528000 |
Author: yangmei |
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Description: HMM toolkit, HTK.
http://htk.eng.cam.ac.uk/ftp/software/
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Size: 3196928 |
Author: Barnabas |
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Description: HTK是英国剑桥大学开发的一套基于C语言的隐马尔科夫模型工具箱,主要应用于语音识别、语音合成的研究,也被用在其他领域,如字符识别和DNA排序等。HTK是重量级的HMM版本。-Cambridge University HTK is a C-based language developed by the Hidden Markov Model Toolkit, mainly used in speech recognition, speech synthesis research, has also been used in other areas, such as character recognition and DNA sequencing. HTK HMM is the heavyweight version.
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Size: 2204672 |
Author: LiJiancheng |
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Description: HTKbook 3.4
包括所有的HTK 语言的用法以及samples(HTK is a toolkit for building Hidden Markov Models (HMMs). HMMs can be used to model
any time series and the core of HTK is similarly general-purpose. However, HTK is primarily
designed for building HMM-based speech processing tools, in particular recognisers. Thus, much of
the infrastructure support in HTK is dedicated to this task. As shown in the picture above, there
are two major processing stages involved. Firstly, the HTK training tools are used to estimate
the parameters of a set of HMMs using training utterances and their associated transcriptions.
Secondly, unknown utterances are transcribed using the HTK recognition tools.)
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Size: 2329600 |
Author: lanlan0909
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