Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 3928 |
Author:韦敏 |
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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: |
Size: 412672 |
Author:威威 |
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Description: 读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令newrbe。-read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab. Platform: |
Size: 4096 |
Author:韦敏 |
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Description: 波形和频谱双显示
记录讲话直接进入MATLAB
手动分割讲话波形-创建标签文件
波形编辑-切割，复制或粘贴
共振峰分析-显示共振轨道的F1 ， F2和F3
基音分析
过滤工具-语音信号滤波器截止频率
比较工具-比较两个波形的频谱距离使用几种措施
增加噪声-Dual time-waveform and spectrogram displays
Records speech directly into MATLAB NEW
Displays time-aligned phonetic transcriptions [e.g., TIMIT s .phn files]- see example Figure above
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- adds noise to the speech signal at an SNR specified by the us Platform: |
Size: 1180672 |
Author:wsw |
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Description: Lip image analysis has attracted much interest in
recent years because some important speech information is
contained in the shape and movement of the lip. To extract
such information from the lip images, accurate and robust
lip region segmentation is of vital importance. However,
most of the current lip segmentation methods fail to provide
accurate results if the person has beards. Platform: |
Size: 93184 |
Author:vikas |
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Description: 利用matlab能够实现语音信号的分割与储存-Can be achieved using matlab segmentation and storage of speech signals Platform: |
Size: 1024 |
Author:wrc |
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Description: 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. Platform: |
Size: 1179648 |
Author:wh |
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Description: 递归度信号处理.可用语语音信号处理,如端点检测,清浊音分割.-Recursive-degree signal processing. Can be language speech signal processing, such as endpoint detection, segmentation Voicing. Platform: |
Size: 82944 |
Author:wangjin |
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Description: COLEA is a Matlab Speech Processing Toolkit with a graphical user interface.
This program can be used to edit speech waveforms (cut, copy or paste selected speech segments) and compute spectrogramss. It includes several speech related tools including a filter tool for speech filtering, and a comparison tool for comparing two waveforms using a variety of spectral distance measures.COLEA can be used to display time-aligned phonetic transcriptions (e.g., TIMIT s .phn files) and for manual segmentation of speech waveforms. It can also perform formant analysis and pitch analysis. A manual describing COLEA is included. For more information about this program visit the web site:
http://www.utdallas.edu/~loizou/speech Platform: |
Size: 356352 |
Author:Gurkan Acı r |
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Description: A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture .-A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture . Platform: |
Size: 6943744 |
Author:Dima |
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Description: A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture .-A Tutorial on HMMs. 5. Advantage of HMM on Sequential Data ... Model Toolkit). – HMM toolbox for Matlab ... Speech recognition and segmentation. • Gesture . Platform: |
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Author:Dima |
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
Size: 1324032 |
Author:糖糖的小糖
|
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Description: 计算语音信号的信噪比和分段信噪比，在matlab中使用(Computing signal-to-noise ratio and segmentation SNR of speech signals are used in MATLAB) Platform: |
Size: 1024 |
Author:迷妹
|
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