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. Platform: |
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Author:刘道平 |
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Description: 一个什么都能做的语音处理软件，Manual segmentation of speech waveforms - creates label files which can be used to train speech recognition systems
Waveform editing - cutting, copying or pasting speech segments
Formant analysis - displays formant tracks of F1, F2 and F3
Pitch analysis
Filter tool - filters speech signal at cutoff frequencies specified by the user
Comparison tool - compares two waveforms using several spectral distance measures
Speech degradation -can do what a voice processing software, Manual segmentation of speech waveforms- crea tes label files which can be used to train speech recognition systems Waveform editing- cuttin g, copying or pasting speech segments Formant ana P <0.05-displays formant tracks of F1, F2 and F3 Pitch analysis Filter tool-filters sp eech signal at cutoff frequencies specified by the user Comparison tool-compares two wavefor ms spectral distance using several measures Sp eech degradation Platform: |
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Author:威威 |
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Description: S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。-S transform Matlab source, Applied Signal and several examples to illustrate how the use of Transform's's transformation can be used to do anything. Transform's time-frequency analysis is the area of a newer, now in signal processing, seismic exploration, Speech Recognition and other areas has started its applied research, is a hot spot. Platform: |
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Author:王清振 |
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Description: 语音分析与合成的资料以及matlab的有关说明-Speech analysis and synthesis of information and the related statement matlab Platform: |
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Author:金虎 |
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Description: Speech analysis and parameter extraction Short-term analysis, frames and windows Time-domain analysis: energy, zero-crossings, statistic parameters, autocorrelation
Frequency-domain analysis: spectra and spectrograms Cepstral analysis Linear prediction analysis Pitch and formant estimation
to run the application please tape menu
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Author:栗子 |
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Description: 对语音编码技术的特点进行了分析与研究, 对波形编码、声码器和混合编码三种主要
的语音编码进行了比较, 并介绍了GSM 和CDMA 两种系统语音编码及部分常用语音编码芯
片, 指出了语音编码技术的发展趋势, 并根据矿井井下特点, 对矿井通信系统所采用的语音
编码技术进行了研究, 最后得出了几点有用的结论.-Of speech coding technology characteristics of the analysis and research on waveform coding, vocoder and mixed encoding three major speech coding are compared, and introduced the GSM and CDMA both types of systems commonly used part of speech coding and speech coding chip pointed out that the speech coding technology, development trends, and in accordance with the characteristics of the mine pit of the mine communication system used in speech coding technology for the study came to the conclusion that some useful conclusions. Platform: |
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Author:王萍 |
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Description: 用matlab实现对语音信号的短时分析，包括清音和浊音的判决，基音周期的估计。-Using matlab to realize short-time speech signal analysis, including the voiceless and voiced the decision, pitch period estimation. Platform: |
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Author:周 |
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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．包括时域分析，语谱图分析，基频分析，共振峰检测等。对于语音分析会有很大的帮助-United States Department of Electronic Engineering, University of Texas developed a voice analysis of the MATLAB program. Including time-domain analysis, language spectrum analysis, frequency analysis, detection, etc. resonance peak. For speech analysis will be of great help Platform: |
Size: 380928 |
Author:feng |
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Description: 语音分析的一个工具箱,包括语音合成,语音编码,语音识别方面的一系列小函数,对语音分析很有帮助-A tool of speech analysis, including speech synthesis, speech coding, speech recognition a series of small function useful for speech analysis Platform: |
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Author:happyuan |
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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. Platform: |
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Author:xxh |
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Description: 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处理。-Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection. Platform: |
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Author:cike |
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Description: matlab语音信号处理工具箱
本工具箱可配合语音数据库使用，用于计算线性预测语音模型的参数，语音声调转换，语音自动解析分解，语音语速变换及更改发音的重音，音量，清晰度等。配套图书《Speech Processing and Synthesis Toolboxes》已经出版，翻译进行中-matlab signal processing toolbox with the voice of the Toolbox database can be used for calculating linear predictive speech model parameters, voice tone conversion, automatic speech analysis decomposition, transformation and change of voice speech rate accented pronunciation, volume, clarity, etc. . Matching book " Speech Processing and Synthesis Toolboxes" has been published in translations Platform: |
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Author:wujingjing |
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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. Platform: |
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Author:Khan17
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Description: The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected from
three speech segments are subjected to PCA for dimensionality reduction and are
subjected to k-means algorithm. The total number of frames is equal to the total
number of vectors that are subjected to k-means clustering. Platform: |
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Author:Khan17
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Description: 语谱图反映了语音信号的动态频谱特性，在语音分析中具有重要的实用价值，被称为可视语音。“yuputu”是用matlab完成语谱图的程序(Spectrogram reflects the dynamic spectrum characteristics of speech signals. It has important practical value in speech analysis and is called visual speech. "Yuputu" is a program to complete the spectrogram with MATLAB.) Platform: |
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Author:mrlong |
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