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genderFormantTracker(matlab)

于 2013-03-08 发布 文件大小:104KB
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下载积分: 1 下载次数: 66

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  说话人性别识别matlab程序,基音检测、共振峰检测、GMM模型识别(Speaker sex recognition matlab program, pitch detection, formant detection, GMM model identification)

文件列表:

genderFormantTracker(matlab)
............................\Formant Tracker(matlab)
............................\.......................\Formant Tracker
............................\.......................\...............\0a.wav,29096,2013-03-04
............................\.......................\...............\10b.wav,32052,2013-03-05
............................\.......................\...............\19b.wav,64044,2013-03-04
............................\.......................\...............\anhuitai1.wav,41366,2013-03-08
............................\.......................\...............\DB.M,126,2013-03-05

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  • addnoise asl
    在仿真语音增强时,往往需要向纯净语音中添加适当的噪声然后作仿真对比,这个程序正是实现这了个功能。(When the speech enhancement is emulation, it is often necessary to add appropriate noise to the pure speech and make a simulation contrast. This program is exactly the function of this program.)
    2018-01-07 20:54:31下载
    积分:1
  • recognition
    一种加权K近邻语音情感识别程序,包括部分柏林语音情感库(A Weighting K-nearest neighbor speech emotion recognition program, including some libraries Berlin Speech Emotion)
    2013-09-04 16:15:24下载
    积分:1
  • blockframes
    语音信号处理中用于说话认识别中预处理部分的分帧函数代码(Speech signal processing for speech understanding in other parts of the sub-frame in the pre-function code)
    2011-05-17 14:30:42下载
    积分:1
  • 基于矢量量化(VQ)的说话人算法
    基于矢量量化(VQ)的说话人识别算法源码(A Speaker Recognition Method Based on Modified VQ Algorithm)
    2018-08-11 14:53:16下载
    积分:1
  • Dereverberation
    通常语音信号在增强时会出现混响现象,演讲者为了消除背景混响,不得不频繁地偏转头部的方向,这样会造成脉冲响应的不断改变。我们结合盲解卷法和频谱消去法来提高逆滤波器的滤波效果。我们利用输入语音信号间的相关系数矩阵计算出稳定、精确的室内脉冲响应的逆滤波器,而这些输入信号无需测量室内的脉冲响应就能被观测到。逆滤波能够消除早期的反射,这些反射包含混响中的绝大部分能量。之后,用频谱消去法来抑制逆滤波后的信号的尾部混响。本方法在实际适应性方面的表现通过具体的实验进行了验证,结果表明盲解卷法和频谱消去法的结合相较于单独使用一种方法,能够提供一个更优越的演说环境。(Usually voice signal will be enhanced when the reverberation phenomenon, the speaker in order to eliminate the background reverberation, and had to frequently deflect the direction of the head, this will cause the impulse response of changing. We combine the blind deconvolution and spectral elimination method to improve the filtering effect of the inverse filter. We use the correlation coefficient matrix between the input speech signal to calculate the stable, accurate inverse filter of the indoor impulse response, and these input signals do not need to measure the room impulse response can be observed. Inverse filtering to eliminate early reflections, these reflections contains most of the energy in the reverberation. After the spectrum elimination method to suppress the tail reverberation of the signal after the inverse filtering. Performance in the actual adaptation of the method by specific experimental validation results show that the blind deconvolution and spectrum to eliminate )
    2012-04-17 22:18:00下载
    积分:1
  • 聚类示例
    实验示例是基于语音中的mfcc,语音倒谱特征来进行聚类,先利用训练样本来计算训练样本聚类中心(用到了lbg算法),之后再进行分类。 注意:使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clustering center (using the LBG algorithm), then the classification is then carried out.)
    2018-04-02 09:19:02下载
    积分:1
  • LBGwlee
    这是我写的用c语言实现LBG算法的一个程序。LBG算法是语音信号处理中一种矢量量化的方法。我的邮箱:wleechina@163.com(This is what I wrote with C Language LBG algorithm a procedure. LBG is the voice signal processing a vector quantization method. My mail : wleechina@163.com)
    2006-10-11 17:10:08下载
    积分:1
  • lpc
    LPC Speech Recoginze
    2011-05-26 00:01:59下载
    积分:1
  • Extract-Sound-Feature
    利用matlab提取声音的基本特征,包络、MFCC、声谱图、能量。代码不复杂,但是省去大家找这些的时间。(The basic feature extraction using matlab sound envelope, MFCC, sonograms, energy. Code is not complicated, but we look for these omitted time.)
    2021-02-12 10:29:51下载
    积分:1
  • der
    speech dereverberation using homomorphic processing
    2012-12-02 12:26:12下载
    积分:1
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