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Description: 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
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Size: 544327 |
Author: 夏洪他 |
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Description: 以半连续隐含马尔可夫模型HMM 为例,分析了影响Viterbi算法效率的主要原因,讨论了提高该算法效率的3种实用策略,即码本剪枝、Beam剪枝及降低精度,在保证一定识别率的前提下,使得搜索处理更加有效,提高了搜索的速度-to semi-continuous HMM HMM example, Analysis of the impact on the efficiency of the Viterbi Algorithm main discussed increasing the efficiency of the algorithm for three kinds of practical strategy, code pruning, beam pruning and reducing precision, In recognition rate guarantee, under the premise of making the process of searching more efficient and improve the search speed
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Size: 93606 |
Author: xiaobai |
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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: 1539072 |
Author: 吴昊 |
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Description: 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
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Size: 543744 |
Author: 夏洪他 |
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Description: 以半连续隐含马尔可夫模型HMM 为例,分析了影响Viterbi算法效率的主要原因,讨论了提高该算法效率的3种实用策略,即码本剪枝、Beam剪枝及降低精度,在保证一定识别率的前提下,使得搜索处理更加有效,提高了搜索的速度-to semi-continuous HMM HMM example, Analysis of the impact on the efficiency of the Viterbi Algorithm main discussed increasing the efficiency of the algorithm for three kinds of practical strategy, code pruning, beam pruning and reducing precision, In recognition rate guarantee, under the premise of making the process of searching more efficient and improve the search speed
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Size: 93184 |
Author: xiaobai |
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Description: 用matlab实现的一个连续概率分布的HMM程序，可以结合《MATLAB扩展编程》一书中关于HMM的介绍-Using matlab to achieve a continuous probability distribution of the HMM program, you can combine MATLAB programming expansion, a book on the introduction of the HMM
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Size: 537600 |
Author: macui |
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Description: HMM非特定人连续语音识别的嵌入式实现-HMM were non-specific embedded continuous speech recognition to achieve
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Size: 183296 |
Author: dddd |
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Description: 基于CHMM的高性能连续数字语音识别算法.rar-CHMM based on the number of high-performance continuous speech recognition algorithm. Rar
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Size: 168960 |
Author: dddd |
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Description: HMM非特定人连续语音识别的嵌入式实现，计算时间基线系统的100％降低到27.91％，识别率仅从基线系统的89.65％下降到89.41％-Non-specific person HMM Continuous Speech Recognition realize embedded computing time baseline system to 100 to 27.91 recognition rate from 89.65 percent of the baseline system dropped to 89.41
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Size: 488448 |
Author: 王功臣 |
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Description: 提出了一种新的连续型隐马尔可夫模型(HMM ) 的概率密度函数, 并导出了一系列的参
数寻优迭代公式,-A new Continuous Hidden Markov Model (HMM) of the probability density function, and derived a series of parameters optimization iteration formula,
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Size: 178176 |
Author: 杨絮 |
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Description: 本文介绍了用HMM嵌入训练方法建立连续语音的声学模型-In this paper, HMM embedded training methods used to establish continuous speech acoustic model
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Size: 304128 |
Author: 杨絮 |
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Description: 连续隐马尔可夫模型hmm的matlab程序-Continuous Hidden Markov Model of matlab procedures hmm
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Size: 5120 |
Author: 小苗 |
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Description: 基于连续隐马尔可夫模型hmm的语音识别的vq程序-Based on Continuous Hidden Markov Model Speech Recognition hmm the VQ process
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Size: 5120 |
Author: 小苗 |
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Description: 基于隐而马可夫的连续语音识别中声学模型的建立及其实现-Based on Hidden Markov and continuous speech recognition acoustic model and its realization
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Size: 2371584 |
Author: 王岐学 |
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Description: 主要描述了HMM的基本思想及原理，还有其在连续语音中的应用-Main HMM describes the basic idea and principle, as well as its application in continuous speech
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Size: 173056 |
Author: liujianfei |
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Description: svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature verification
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Size: 4217856 |
Author: yqch |
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Description: A Hidden Markov Model (HMM) Toolbox within the
Matlab environment is presented. In this toolbox, the
conventional techniques for the continuous and discrete
HMM are developed for the training as well as for the
test phases.
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Size: 235520 |
Author: iwan |
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Description: 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 others to speak freely. At present, continuous speech recognition technology is maturing, voice recognition is also extended out a lot of practical research directions. In the future, speech recognition will focus on Spontaneous Speech Recognition and Understanding, real-time speech recognition and speech recognition robustness and so on. As an interdisciplinary subject, speech recognition technology involved in a signal processing, pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence.
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Size: 5483520 |
Author: 吴斌 |
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Description: 隐马尔克夫模型工具箱，matlab 语言，包含有离散HMM、连续HMM(Hidden Markov model toolbox, MATLAB language, contains a discrete HMM and continuous HMM)
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Size: 408576 |
Author: 蜗牛528
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Description: hmm工具箱，包括各种算例，离散与连续马尔科夫过程(hmm tool box Including various examples discrete and continuous markov process)
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Size: 818176 |
Author: xzy |
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