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mfcc
mfcc.m 用于语音识别上的mfcc特征参数提取函数。(mfcc.m mfcc characteristic parameters for speech recognition on the extraction function.)
- 2021-03-28 02:09:11下载
- 积分:1
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mp3 的算法
mp3算法并讲解mp3编码(mp3 algorithm on the MP3 encoder and)
- 2004-08-31 19:17:01下载
- 积分:1
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lpcc-matlab
matlab程序,从语音中提取lpcc,可以修改维数,带详细中文解释,方便阅读。(matlab program, extracted from voice lpcc, you can modify the dimension, with a detailed explanation of the Chinese, and easy to read.)
- 2012-11-01 22:02:05下载
- 积分:1
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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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HMMforspeechrecogntion
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. )
- 2010-01-05 15:16:00下载
- 积分:1
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yuyin
matlab语音识别与分辨,可以做到特定语句的识别和特定人的识别。(Matlab speech recognition and resolution)
- 2019-05-10 17:14:28下载
- 积分:1
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402864
语音库开发工具源码,例程程序创建机读SAPI.SpVoice对象开发语音库。(Speech development tools source , routine program to create machine-readable SAPI.SpVoice speech object development .)
- 2016-12-22 09:44:30下载
- 积分:1
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negentropy
基于负熵的盲源分离算法,可以用于语音的盲分离,提高语音信号质量(Negative entropy algorithm based on blind source separation, can be used to blind separation of speech, improve the quality of voice signal)
- 2020-06-30 11:20:02下载
- 积分:1
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2DPCA_Matlab_Codes_PAMI_2004
这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA:
A New Approach to Appearance-Based
Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好,语音识别是最近的,这是模式识别里的经典算法。(matlab code of 2DPCA)
- 2010-01-05 19:41:55下载
- 积分:1
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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