Search - hmm isolated word speech recognition

Search - hmm isolated word speech recognition - List

[Speech/Voice recognition/combine] VAD-DTW-HMM DL : 1: 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
Date : 2008-10-13 Size : 531.57kb User : 夏洪他
[Speech/Voice recognition/combine] VAD-DTW-HMM DL : 0: 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
Date : 2025-07-02 Size : 531kb User : 夏洪他
[Speech/Voice recognition/combine] HMM1 DL : 0: 一个HMM的Matlab实现方法，可实现孤立词语音识别-The Matlab realize a HMM method can realize an isolated word speech recognition
Date : 2025-07-02 Size : 799kb User : 陈楠
[Speech/Voice recognition/combine] CDHMM DL : 0: 基于小波包的孤立词语音识别技术，构建了一个关于方向信息的孤立词非特定人语音识别系统。给出了从模型训练到识别的实现过程。-Based on Wavelet Packet isolated word speech recognition technology, to build an information on the direction of non-specific people isolated word speech recognition system. From the model are given training to realize the process of identification.
Date : 2025-07-02 Size : 17.91mb User : wangyan
[Speech/Voice recognition/combine] 1003 DL : 0: 这个关于语音识别的文章，介绍了HMM模型的参数优化的问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.
Date : 2025-07-02 Size : 549kb User : kellan
[Speech/Voice recognition/combine] recognize DL : 0: 孤立词的HMM语言识别算法，能够运行，忘能帮到大家-HMM isolated word speech recognition algorithm, able to run, forget the help to everyone
Date : 2025-07-02 Size : 326kb User : lifei
[matlab] DTW DL : 0: DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.
Date : 2025-07-02 Size : 6kb User : fujuan
[Speech/Voice recognition/combine] 7c2f6c56ed6d DL : 0: 一个HMM的Matlab实现方法，可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved
Date : 2025-07-02 Size : 799kb User : 陈子秋
[Speech/Voice recognition/combine] ISpeech-recogs DL : 0: 基于HMM的孤立词语音识别别程序，非常有用。可直接使用。 -Isolated word HMM-based speech recognition procedures, very useful. Complete source code can be used directly.
Date : 2025-07-02 Size : 12kb User :
[Speech/Voice recognition/combine] eVADD-DTW-HMMn DL : 0: 端点检测与一种基于DTW与HHMM的孤立词识别与连续语音识别 -endpoint detection and DTW-based HMM and isolated word recognition and CContinuous Speech Recognition
Date : 2025-07-02 Size : 532kb User :
[AI-NN-PR] speechhmm DL : 0: 运用HMM进行语音识别之后的孤立词识别，里面函数俱全。可以直接运用，简单方便-Speech recognition with HMM isolated word recognition, which function and taste. Can directly use, simple and convenient
Date : 2025-07-02 Size : 1.1mb User : 武安君
[File Format] HMM DL : 0: HMM识别孤立词的研究与实现,有助于学习语音识别-HMM isolated word recognition and implementation of research, contribute to learning speech recognition
Date : 2025-07-02 Size : 447kb User : 吴光辉
[Algorithm] DTW DL : 0: 在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。本程序是DTW算法的实现-In isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time whole) algorithm based on dynamic programming (DP) ideas to solve the problem of template matching pronunciation of varying lengths, is earlier, more classic kind of speech recognition algorithms appear for isolated word recognition. HMM algorithm needs to provide a large amount of training phase speech data, by repeating the calculations to obtain the model parameters and the DTW algorithm training almost no additional computation. Therefore, in isolated word speech recognition, DTW algorithm is still widely used. This program is to achieve DTW algorithm
Date : 2025-07-02 Size : 519kb User : 庞永强
[Other resource] DTW DL : 0: 在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。-In isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time whole) algorithm based on dynamic programming (DP) of thinking to solve the problem of template matching pronunciation of varying lengths, is Earlier, more classic appearance of a speech recognition algorithm for isolated word recognition. In the training phase HMM algorithm needs to provide a large amount of speech data, by repeating the calculations to obtain the model parameters, and the algorithm of DTW training requires little extra computation. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.
Date : 2025-07-02 Size : 2kb User : 黑色地位
[matlab] SpeechRec DL : 0: 在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。-Isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time Warping) algorithm based on dynamic programming (DP) of thinking to solve the problem of template matching pronunciation of varying lengths, is earlier, more classic kind of speech recognition algorithm appears for isolated word recognition. HMM training phase algorithm needs to provide a large amount of speech data, by repeatedly calculating the model parameters can be obtained, and DTW algorithm training almost no additional computation. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.
Date : 2025-07-02 Size : 3.33mb User : David
[AI-NN-PR] HMM-isolated-word-speech-recognition DL : 0: 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
Date : 2025-07-02 Size : 592kb User : 裴安山
[Speech/Voice recognition/combine] speech-recognition DL : 0: 基于HMM算法的孤立词，非特定人的语音识别，主要是HMM算法在语音识别上的应用。- HMM-based algorithm, Isolated word，non-specific speech recognition, mainly HMM Algorithm in Speech Recognition.
Date : 2025-07-02 Size : 1.15mb User : DanielWang
[Speech/Voice recognition/combine] Speech Encoding - Frequency Analysis MATLAB DL : 0: The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech signal is divided into finite number of frames. Every frame of the speech signal is assumed to be generated from any one of the n states. Each state is modeled as the multivariate Gaussian density function with the specified mean vector and the covariance matrix. Let the speech segment for the particular isolated word is represented as vector S. The vector S is divided into finite number of frames (say M). The i th frame is represented as Si . Every frame is generated by any of the n states with the specified probability computed using the corresponding multivariate Gaussian density model.
Date : 2025-07-02 Size : 769kb User : Khan17