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Description: 语音识别与合成入门2，word或压缩包中内有matlab源码-speech recognition and synthesis 2 entry, word or compressed packages within Matlab FOSS
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Size: 395264 |
Author: 周员 |
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Description: 语音识别与合成入门2，word或压缩包中内有matlab源码-speech recognition and synthesis 2 entry, word or compressed packages within Matlab FOSS
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Size: 90112 |
Author: 周员 |
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Description: 语音识别与合成入门3，word或压缩包中内有matlab源码-speech recognition and synthesis 3 entry, word or compressed packages within Matlab FOSS
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Size: 57344 |
Author: 周员 |
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Description: 语音识别与合成入门4，word或压缩包中内有matlab源码-speech recognition and synthesis four entry, word or compressed packages within Matlab FOSS
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Size: 51200 |
Author: 周员 |
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Description: 语音识别与合成入门5，word或压缩包中内有matlab源码-speech recognition and synthesis 5 entry, word or compressed packages within Matlab FOSS
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Size: 163840 |
Author: 周员 |
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Description: 美国德克萨斯州大学电子工程系开发的一套进行语音分析的MATLAB程序． A MATLAB software tool for speech analysis．-University of Texas, Department of Electronic Engineering, developed a voice analysis of MATLAB. A MATLAB software tool for speech analysis.
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Size: 380928 |
Author: 刘道平 |
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Description: MATLAB Web Server的配置和应用-MATLAB Web Server Configuration and Application
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Size: 62464 |
Author: 展颜 |
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Description: MATLAB编写的用于语音识别的程序 主要内容为隐马尔可夫程序-MATLAB prepared for the speech recognition process mainly as Hidden Markov proce
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Size: 37888 |
Author: xu |
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Description: 采用MELP编制的压缩与解码程序，在MATLAB环境下可直接运行，语音2.4kb/s-MELP (Mixed-Excitation Linear Predictive) Vocoder is a new 2400 bps Federal standard speech coder. This Matlab code of MELP can run directly in MATLAB condition.
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Size: 743424 |
Author: 姜正茂 |
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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 :)
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Size: 329728 |
Author: dorothy |
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Description: 语音识别的原理和应用以及语音系统的提高等知识-Fundamentals of voice recognition and its applications. And some knowledge about enhancement of voice system or so.
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Size: 3623936 |
Author: sff |
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Description: 检测语音信号的共振峰
％ gender = gender_detector(X,Fs)
％
％ This function will use a pitch detection algorithm to decide if the speaker is MALE(0) or FEMALE (1).
％ It is designed to work with short speech samples (up to or greater than 50 ms). The function returns a
％ 0 if X contains male speech and a 1 if it contains female speech.
-the resonance peak gender_detector% gender = (X, Fs)%% This function will use a detection a pitch lgorithm to decide if the speaker is abbreviation (0) or F EMALE (1). % It is designed to work with short spe ech samples (up to or greater than 50 ms). The fun ction returns a 0% if X contains a male speech and if it contains a female speech.
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Size: 16384 |
Author: lixiao |
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Description: 里面包含多个关于语音增强的程序，对做语音方向的或许有帮助-Which contains more than on the speech enhancement procedure, the direction of the voice to do, perhaps, have helped
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Size: 71680 |
Author: wjy |
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Description: 完成基于MFCC的语音识别系统仿真，文件中带有完成语音识别训练的源文件-Completion of MFCC-based speech recognition system simulation, document the completion of speech recognition training with the source file
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Size: 807936 |
Author: zhao |
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Description: 语音分析GUI实例：
最近在做数字语音分析，这里面有两份GUI，能完成10语音分析功能，已经打包调试。-Speech Analysis GUI examples: Recently, doing digital voice analysis, there are two GUI, to complete the 10 voice analysis capabilities have been packaged debugging.
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Size: 12288 |
Author: xxh |
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Description: video & speech coding book
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Size: 8850432 |
Author: surbhi |
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Description: matlab 语音识别系统，深圳大学的语音识别-matlab speech recognition
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Size: 8809472 |
Author: yangdong |
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Description: 用matlab仿真0到9十个数字的语音识别
1、对语音的WAV文件和LAB文件进行处理，产生十个文件，每个文件对应于一个数字，存贮着该数字的波形文件。（shujuzhengli.m）
2、分别利用上面十个文件训练出十个HMM模板，具体方法是：首先将语音的波形文件分帧，以128个点为一帧，帧移为64，每一帧通过mfcc.m计算出13个系数，随着波形的长度不同，一个语音文件可以计算得到13*N个系数，截取13*15的矩阵（mfcc系数）用作训练数据。一般一个HMM模板用20组mfcc系数训练，得到初始状态分布、状态转移矩阵、高斯正态分布的均值和方差以及混合矩阵，这就是该语音的特征，存贮下来，识别的时候使用。（trainmfcc.m）
3、识别过程：识别的前面部分与训练相似，都是要计算得到mfcc系数，不同在于，识别时，将计算得到的mfcc 参数分别代入训练得到的HMM模板求出概率，比较出最大概率者，则该模板对应的数字就是识别的数字。(shibiesb.m)
4、用大量语音文件做测试，结果正确率为90 以上。-Speech Recogonition: Mumber 0-9
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Size: 111616 |
Author: Fatso Ding |
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Description: 本资料涵盖了几乎所有的语音增强方面的方法，主要有谱减法，听觉掩蔽，最小均方误差，维纳滤波以及一些非主流的方法，这些对于研究语音增强的人来说是很有帮助的-The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some non-mainstream approach, which for the study of speech enhancement is helpful for people who
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Size: 63694848 |
Author: luzhiqiang |
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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.
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Size: 787456 |
Author: Khan17
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