登录
首页 » matlab » Voice_Conversion_1

Voice_Conversion_1

于 2012-02-15 发布 文件大小:27050KB
0 183
下载积分: 1 下载次数: 294
我要下载

代码说明：

  基于GMM模型实现语音转换,通过GMM模型对谱包络的建模，实现男女，个性化语音之间转换(Voice conversion using GMM model)

文件列表：

Voice_Conversion_1
..................\CenterClipping.m,497,2009-07-03
..................\conversion
..................\..........\arctic_a0130.wav,60366,2003-08-03
..................\..........\bdl_arctic_a0001.wav,103566,2003-08-03
..................\..........\bdl_arctic_a0002.wav,108046,2003-08-03
..................\..........\consp,2005072,2011-06-15
..................\..........\mod_fea,145800,2011-07-19
..................\..........\nan1.wav,36882,2011-05-24
..................\..........\syn.wav,107886,2011-05-15
..................\..........\syn0001.wav,103406,2011-05-30
..................\..........\syn2.wav,60206,2011-05-15
..................\..........\test.sp,1061910,2011-07-19
..................\..........\htm" target=_blank>test_mgc,86016,2011-06-15
..................\..........\新建文本文档.txt,79,2012-02-09
..................\Convert.m,1648,2011-07-19
..................\convertF0.mat,332,2011-05-15
..................\convertLPCC.m,757,2011-05-14
..................\dtw.m,1317,2009-12-06
..................\exPitch.m,758,2011-05-14
..................\Extract_Fea.m,694,2011-05-15
..................\Extract_Fea_Voiced.m,732,2011-05-15
..................\Fea_dtw.m,1073,2011-05-15
..................\gmmmodel.mat,2228721,2011-05-15
..................\LowPassFilter.m,159,2009-07-03
..................\mahalan.m,1193,2010-10-19
..................\mcep.exe,61440,2011-05-13
..................\medfilt1.m,3165,2009-07-03
..................\mgc2sp.exe,57344,2011-05-13
..................\pdfgauss.m,2409,2010-10-19
..................\PitchDetection.m,2085,2009-07-03
..................\PitchEstimation.m,966,2011-05-14
..................\Script_sp2mcep.m,485,2011-05-15
..................\sp2mcep.m,15300,2011-05-15
..................\STRAIGHT_Fea
..................\............\bdl
..................\............\bdl_Voiced
..................\............\bdl_Voiced_Mcep
..................\............\joint_Fea
..................\............\.........\arctic_a0001,172100,2011-05-15
..................\............\.........\arctic_a0002,180100,2011-05-15
..................\............\.........\arctic_a0003,172900,2011-05-15
..................\............\.........\arctic_a0004,156900,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0005,82500,2011-05-15
..................\............\.........\arctic_a0006,185700,2011-05-15
..................\............\.........\arctic_a0007,174500,2011-05-15
..................\............\.........\arctic_a0008,133700,2011-05-15
..................\............\.........\arctic_a0009,148100,2011-05-15
..................\............\.........\arctic_a0010,203300,2011-05-15
..................\............\.........\arctic_a0011,214500,2011-05-15
..................\............\.........\arctic_a0012,144900,2011-05-15
..................\............\.........\arctic_a0013,214500,2011-05-15
..................\............\.........\arctic_a0014,172900,2011-05-15
..................\............\.........\arctic_a0015,102500,2011-05-15
..................\............\.........\arctic_a0016,180100,2011-05-15
..................\............\.........\arctic_a0017,232900,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0018,89700,2011-05-15
..................\............\.........\arctic_a0019,212900,2011-05-15
..................\............\.........\arctic_a0020,209700,2011-05-15
..................\............\.........\arctic_a0021,140900,2011-05-15
..................\............\.........\arctic_a0022,247300,2011-05-15
..................\............\.........\arctic_a0023,279300,2011-05-15
..................\............\.........\arctic_a0024,210500,2011-05-15
..................\............\.........\arctic_a0025,188900,2011-05-15
..................\............\.........\arctic_a0026,159300,2011-05-15
..................\............\.........\arctic_a0027,248900,2011-05-15
..................\............\.........\arctic_a0028,132900,2011-05-15
..................\............\.........\arctic_a0029,184900,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0030,79300,2011-05-15
..................\............\.........\arctic_a0031,109700,2011-05-15
..................\............\.........\arctic_a0032,192100,2011-05-15
..................\............\.........\arctic_a0033,237700,2011-05-15
..................\............\.........\arctic_a0034,176100,2011-05-15
..................\............\.........\arctic_a0035,196100,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0036,87300,2011-05-15
..................\............\.........\arctic_a0037,151300,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0038,85700,2011-05-15
..................\............\.........\arctic_a0039,141700,2011-05-15
..................\............\.........\arctic_a0040,143300,2011-05-15
..................\............\.........\arctic_a0041,136100,2011-05-15
..................\............\.........\arctic_a0042,130500,2011-05-15
..................\............\.........\arctic_a0043,196900,2011-05-15
..................\............\.........\arctic_a0044,152100,2011-05-15
..................\............\.........\arctic_a0045,144900,2011-05-15
..................\............\.........\arctic_a0046,177700,2011-05-15
..................\............\.........\arctic_a0047,189700,2011-05-15
..................\............\.........\arctic_a0048,124900,2011-05-15
..................\............\.........\arctic_a0049,160900,2011-05-15
..................\............\.........\arctic_a0050,199300,2011-05-15
..................\............\.........\arctic_a0051,238500,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0052,95300,2011-05-15
..................\............\.........\arctic_a0053,160100,2011-05-15
..................\............\.........\htm" target=_blank>arctic_a0054,98500,2011-05-15
..................\............\.........\arctic_a0055,198500,2011-05-15
..................\............\.........\arctic_a0056,160900,2011-05-15
..................\............\.........\arctic_a0057,124100,2011-05-15
..................\............\.........\arctic_a0058,218500,2011-05-15
..................\............\.........\arctic_a0059,119300,2011-05-15
..................\............\.........\arctic_a0060,140100,2011-05-15
..................\............\.........\arctic_a0061,160900,2011-05-15

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • main
    用于语音信号，心音信号基于SVM的MATLAB识别(Recognition of Speech Signal and Heart Sound Signal Based on SVM)
    2017-05-16 11:06:33下载
    积分：1
  • specsub_modified11
    语音唤醒就是在设备待机状态下，用户说出特定的语音指令（唤醒词）使设备进入工作状态或完成某一操作。设备为了实现语音唤醒功能，就需要设备实时监听，也就是实时的录音并分析有没有唤醒词来唤醒设备。评价一个语音唤醒系统的标准有三个：唤醒正确率、误报率、功耗。一般情况下，唤醒正确率越高 ，误报率也越高。好的系统就需要唤醒率高，误报率低，功耗低。(Speech wakeup is when the device is in standby mode, the user speaks a particular voice command (wake up word), so that the device enters the work state or completes an operation. In order to realize the function of speech wakeup, the device needs real-time monitoring, that is, real-time recording and analyzing whether or not wake words are used to wake up the equipment. There are three criteria for evaluating a voice wakeup system: wakeup accuracy, false positive rate, and power consumption. Generally, the higher the correct rate of arousal, the higher the false positive rate. A good system requires high wake-up rate, low false positive rate and low power consumption.)
    2017-08-15 16:45:55下载
    积分：1
  • attentionModel
    attention model for saliency detection.
    2010-02-01 08:58:57下载
    积分：1
  • speech recognition with DTW
    基于DTW算法实现孤立数字及连续数字语句的识别，识别率还可以（内含语音数据集）(Based on DTW algorithm, isolated number and continuous number statements can be recognized, and the recognition rate can also be (including voice data set))
    2019-05-17 15:27:28下载
    积分：1
  • LPCC
    线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)
    2018-04-18 16:27:27下载
    积分：1
  • 2017Car_Synthetical_DemoV05.01
    能自动循迹 图像识别 语音识别 避障 红外光感应 过ETC等功能(Can automatic speech recognition obstacle avoidance tracking infrared induction ETC function)
    2018-04-02 11:45:07下载
    积分：1
  • lpcc
    用matlab实现LPCC特征的提取的程序！(Using matlab realize LPCC feature extraction procedure!)
    2008-03-18 12:31:40下载
    积分：1
  • TTS
    语音合成软件，输入文字，自动生成声音文件，全部是源码(Speech synthesis software, input text, automatic generation of sound files, all the source code)
    2020-10-26 20:29:59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
  • chapter2-low-bit-rate-speech-coding
    Chapter 2 Low Bit-Rate Speech Coding In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.(In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.)
    2010-07-02 19:42:42下载
    积分：1
  • 696518资源总数
  • 104269会员总数
  • 31今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2024 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！