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speech_vad

于 2017-07-12 发布 文件大小:1KB
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下载积分: 1 下载次数: 7

代码说明:

  利用MATLAB来实现语音的分帧及语音端点检测(Using MATLAB to achieve voice segmentation and voice endpoint detection)

文件列表:

speech_vad
speech_vad\enframe.m
speech_vad\vad.m

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    短时自相关和短时平均幅度差计算基音周期的matlab程序,附带有原语音信号(Short-term autocorrelation and short-term average deviation of pitch period matlab program, comes with the original speech signal)
    2013-08-13 09:02:28下载
    积分:1
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    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
  • P863E
    P.863标准(POLQA),语音质量的客观评测标准,是对P.862标准(PESQ)的升级,适应范围更广,评价结果更接近主观的MOS。(P.863 Standards (POLQA), objective voice quality uation standard is the standard P.862 (PESQ) upgrade, adapt a wider range of uation results closer to the subjective MOS.)
    2015-03-11 12:15:12下载
    积分:1
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    用vq算法进行说话人识别,能达到良好的效果(Using VQ speaker recognition algorithm can achieve good results)
    2020-06-26 20:20:02下载
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  • SpeakerMFCCGMM
    speaker recognition using MFCC GMM EM
    2011-11-21 01:33:47下载
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    PESQ是用于语音质量评估的一种方法,ITU提供了代码(P.862 : Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs)
    2020-06-19 00:00:02下载
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  • GMM-apply-for-text-to-speech
    利用GMM训练模型,并用于说话人识别等相关领域,有不错的效果(GMM apply for text to speech)
    2021-04-07 18:19:01下载
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  • mfccPSVM
    本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用当前流行的SVM分类器,作为对比实验是一个不错的选择。(This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice. )
    2012-07-04 15:19:10下载
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  • quzao
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  • Enhancement_colume_masking
    1.单通道语音增强算法; 2.一种能够快速跟踪噪声变化的,基于噪声统计特性的噪声估计算法,结合谱减法进行消除噪声; 3.算法复杂度适中,可以满足实时性(1. Single-channel speech enhancement algorithm 2. A fast-track noise can change, based on the noise statistical properties of the noise estimation algorithm, combined with spectral subtraction to eliminate noise 3. Algorithm moderate complexity to meet the real-time)
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