Search - speech analysis matlab

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[Speech/Voice recognition/combine] Signal_analisis DL : 0: 经典语音信号分析，考到matlab根目录下。-classic speech signal analysis, copy it into matlab boot directory
Date : 2026-01-01 Size : 775kb User : 王舒翀
[Speech/Voice recognition/combine] col DL : 0: 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
Date : 2026-01-01 Size : 403kb User : 威威
[Speech/Voice recognition/combine] specsub DL : 0: 语音增强的程序,用于带噪语音的去噪处理分析-speech enhancement procedures for Noisy Speech Analysis of the denoising
Date : 2026-01-01 Size : 5kb User : 张洁
[Speech/Voice recognition/combine] wavematlab DL : 0: 语音分析，可以求过零率，短时能量，短时幅度等-speech analysis, can seek zero rate, short-term energy, short-term margin
Date : 2026-01-01 Size : 1kb User : shao
[Speech/Voice recognition/combine] matlab DL : 0: 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
Date : 2026-01-01 Size : 63kb User : 金虎
[Speech/Voice recognition/combine] traitementduson DL : 0: 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
Date : 2026-01-01 Size : 2.12mb User : 栗子
[Speech/Voice recognition/combine] colea DL : 0: 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
Date : 2026-01-01 Size : 372kb User : feng
[Speech/Voice recognition/combine] 1232sds DL : 0: 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
Date : 2026-01-01 Size : 143kb User : happyuan
[Speech/Voice recognition/combine] lpc DL : 0: matlab 求线性倒谱系数,用于语音识别-matlab linear cepstral coefficients for speech recognition
Date : 2026-01-01 Size : 415kb User : 吴欢欢
[Speech/Voice recognition/combine] final DL : 0: 一个基于PC声卡和matlab的实时语音信号采集分析系统，带有界面图形，功能较完善-A matlab based on PC sound card and the real-time voice signal acquisition analysis system with graphic interface, function better
Date : 2026-01-01 Size : 447kb User : zhaoqingtian
[Speech/Voice recognition/combine] SpeechProsodyAnalysisTools DL : 0: 用于语音信号分析的matlab源代码，包括谐波分析，声强分析，音源分析等 This software consists of a series of Matlab routines useful for various aspects of prosodic analysis of speech, in particular F0 and harmonic analysis, loudness analysis, and voice-source analysis. -For voice signal analysis matlab source code, including harmonic analysis, sound intensity analysis, audio analysis, etc. This software consists of a series of Matlab routines useful forvarious aspects of prosodic analysis of speech, in particular F0and harmonic analysis, loudness analysis, and voice-source analysis.
Date : 2026-01-01 Size : 71kb User : 凝空子
[Speech/Voice recognition/combine] SPEECH-ANALYSIS-GUI DL : 0: 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.
Date : 2026-01-01 Size : 12kb User : xxh
[Speech/Voice recognition/combine] Project2 DL : 0: Speech Recognition Analysis Speech Recognition Analysis -Speech Recognition Analysis Speech Recognition Analysis Speech Recognition Analysis Speech Recognition Analysis
Date : 2026-01-01 Size : 1.57mb User : Praveen
[Speech/Voice recognition/combine] F2_6764 DL : 0: 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.
Date : 2026-01-01 Size : 30kb User : cike
[Speech/Voice recognition/combine] beat DL : 0: 语音分析软件。主要是进行onset发现，以及beat计算。常用的语音切分工具-Voice analysis software. Mainly for onset detection, beat calculation. Commonly used in speech segmentation tool
Date : 2026-01-01 Size : 569kb User : fanli
[Speech/Voice recognition/combine] BasedonMATLABspeechsignalspectrumanalysisandfilter DL : 0: 录制一段个人自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法和双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号-The individual' s own record a voice signal, and the recorded signal is sampled draw sampled speech signal time-domain waveform and frequency spectrum filter performance given by the window function method and bilinear transformation design a filter and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of the speech signal
Date : 2026-01-01 Size : 12kb User : 姚湘陵
[Speech/Voice recognition/combine] songzhiyong-speech-synthesis DL : 0: 宋志勇老师的Matlab应用程序分析和合成源程序的,希望可以帮助你-Song Zhiyong teacher in a speech in Matlab source application analysis and synthesis of books, I hope it can help you
Date : 2026-01-01 Size : 1.08mb User : 周枫
[Speech/Voice recognition/combine] Wiener-filter-in-speech-enhance DL : 1: 这是我的adsp的project 维纳滤波在语音增强上的应用，是基于维纳滤波的语音增强的matlab实现，其中包括matlab源码，word文档，以及PPT。并设计了简单的 GUI 对语音信号进行加噪处理，然后再其进行维纳滤波。通过gui可以实时改变加入噪声的参数和维纳滤波器的参数，进行分析。并有频谱显示和语谱对比显示。-This is my project adsp the Wiener filter applied on speech enhancement is based on the Wiener filter speech enhancement matlab implementation, including matlab source code, word documents, and PPT. And designed a simple GUI for adding noise speech signal processing, then it Wiener filtering. You can join the real-time changes in the parameters and noise parameters Wiener filter through gui, for analysis. And a spectrum display and spectral contrast display language.
Date : 2026-01-01 Size : 749kb User : 小毛孩
[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 : 2026-01-01 Size : 769kb User : Khan17
[Speech/Voice recognition/combine] Speech Processing Analysis - MATLAB DL : 0: 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.
Date : 2026-01-01 Size : 711kb User : Khan17

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