Description: 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. Platform: |
Size: 18776064 |
Author:wangyan |
Hits:
Description: 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. Platform: |
Size: 562176 |
Author: kellan |
Hits:
Description: 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 Platform: |
Size: 333824 |
Author:lifei |
Hits:
Description: 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. Platform: |
Size: 6144 |
Author:fujuan |
Hits:
Description: 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 Platform: |
Size: 818176 |
Author:陈子秋 |
Hits:
Description: 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.
Platform: |
Size: 12288 |
Author: |
Hits:
Description: 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 Platform: |
Size: 1152000 |
Author:武安君 |
Hits:
Description: 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 Platform: |
Size: 531456 |
Author:庞永强 |
Hits:
Description: 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. Platform: |
Size: 2048 |
Author:黑色地位 |
Hits:
Description: 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. Platform: |
Size: 3494912 |
Author:David |
Hits:
Description: 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. Platform: |
Size: 606208 |
Author:裴安山 |
Hits:
Description: 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. Platform: |
Size: 787456 |
Author:Khan17
|
Hits:
Search - hmm isolated word speech recognition