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espeak_1.36

于 2021-01-03 发布 文件大小:1140KB
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下载积分: 1 下载次数: 39

代码说明:

  espeak语音生成库,内附有移植使用文档《espeak移植使用》(espeak speech generation library, containing transplanted using the document espeak transplant use )

文件列表:

espeak_1.36.orig.tar.gz,1150209,2015-05-05
espeak移植使用.docx,20071,2015-05-05

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  • EMOTION-RECOGNITION-OF-SPEECH
    特定人语音情感识别系统 关键词:语音信号,情感特征,情感识别 含论文、源代码、实验数据等( EMOTION RECOGNITION OF SPEECH BASED ON MATLAB Keywords:Speech Signal,Emotional Feature,Emotion Recognition)
    2012-05-02 10:10:52下载
    积分:1
  • CS-dft
    对一维语音信号,用正交匹配追踪的方法进行重构,首先对其进行了分帧,然后再一帧一帧的重构,最后计算了平均帧重构误差(One-dimensional speech signal reconstruction, orthogonal matching pursuit, the first of its sub-frame, and then again a reconstruction of a final calculation of the average frame reconstruction error)
    2020-10-20 11:07:25下载
    积分:1
  • jizhengzhuoye
    均匀线列阵和均匀平面阵的自然指向性图的画法(just a little program)
    2021-05-14 10:30:02下载
    积分:1
  • yubaihua
    预白化是对语音信号在处理之前的一中预处理操作,对其后的操作有很重要的作用()
    2007-07-11 16:25:44下载
    积分:1
  • HMM
    本篇文章是要使针对HMM初学者,该文主要介绍了HMM原理(This article is to make for beginners HMM, the article mainly introduces the principle of HMM)
    2008-05-19 13:40:01下载
    积分:1
  • yuchuli
    一种用于语音或者心音去噪和提取包络的预处理方法,对于后面信号处理更加方便(A method for denoising and extract voice or heart sounds envelope pretreatment method, the signal processing is more convenient for the latter)
    2013-10-30 14:32:33下载
    积分:1
  • GMM_SID
    用于说话人识别(声纹识别)中训练过程和识别过程的高斯混合模型程序(GMM model for the training process or test process of speaker identification)
    2012-08-16 11:39:59下载
    积分:1
  • yuyinxinhaolianghua
    采用矢量量化对语音信号量化,并与标量量化对比分析,绘制了语音信号的概率密度曲线(The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve)
    2009-07-01 16:32:02下载
    积分:1
  • jcsb
    文中研究了6种常用数字调制信号识别的特征参数集,并采用决策树判别方法进行分类识别。仿真结果表明,在SNR≥5dB时,识别正确率在99 以上,且当SNR≥20dB时,识别正确率达到100 。其特点是,算法简单,识别正确率高,达到了自动分类识别的目的,并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)
    2012-07-19 09:29:58下载
    积分:1
  • 信号降噪之小波分解法
    语音信号处理--降噪方法之小波分解法 MATLAB例程(Speech Signal Processing--A MATLAB Routine of Wavelet Decomposition Method for Noise Reduction)
    2020-07-04 19:00:01下载
    积分:1
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