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Description: This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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Size: 1405952 |
Author: 站长 |
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Description: amr算法程序,非常实用,商业化版本,VC下编译使用,关键算法可移植-amr algorithm procedures, very practical, commercial version, compiled using VC, the key algorithm can be transplanted
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Size: 43008 |
Author: 罗平 |
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Description: 实现了从wave中读取数据，并通过mfcc提取特征系数。再通过分裂法聚类，最后使用EM算法建立GMM。-Realize the data read from the wave, and through MFCC feature extraction coefficient. Clustering through secession law, and finally the use of EM algorithm for the establishment of GMM.
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Size: 5120 |
Author: gujunjun |
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Description: 从wave中读取数据，通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器，最终识别为那种类型-Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type
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Size: 4096 |
Author: gujunjun |
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Description: 求mfcc的模块 的c文件！！mfcc模块在很多领域都可以用到-MFCC module for the c file! ! MFCC modules in many areas can be used
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Size: 1024 |
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Description: 这是小弟在实验室做的说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别。希望会对大家有帮助。-This is the boy in the laboratory to do the speaker identification procedure for the extraction of MFCC parameters and to establish GMM model to be identified. I hope everyone will help.
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Size: 380928 |
Author: feng |
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Description: VC语音处理程序源码 (2.87 MB)
-VC voice processing source (2.87 MB)
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Size: 3005440 |
Author: numenr |
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Description: 本代码包括vc下对于wave文件的读取，以及声纹识别中mfcc的计算，包括完整的声音预处理和特征计算过程。-Vc under this code, including the wave of documents to read, as well as Voice Recognition MFCC calculation, including the voice of integrity and characteristics of pre-processing calculations.
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Size: 8192 |
Author: 翟方文 |
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Description: 该文件包括mfcc.h和mfcc.c两个文件，已经在C++6.0上调试通过，可以作为程序的一部分代码实用-The document included mfcc.h and mfcc.c two documents, has been in C++6.0 on debugging through, you can code as part of the procedures and practical
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Size: 4096 |
Author: boss |
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Description: mfcc倒谱系数，可用于计算倒谱系数，是老师布置得毕业设计 希望对大家有哦那个-mfcc cepstral coefficients can be used to calculate the cepstral coefficients, is a graduate teacher design layout for all of us hope that there Oh
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Size: 1024 |
Author: xianiao |
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Description: automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
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Size: 576512 |
Author: vikram |
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Description: 基于HTK的MFCC提取。通过验证是完全正确的，不是不负责任的随便乱写给出结果。编译环境是codeblocks-Based on HTK' s MFCC extraction. Validation is absolutely correct, not irresponsible given the results of random scrawl
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Size: 410624 |
Author: Trileaf |
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Description: This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification.-This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification.
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Size: 653312 |
Author: kvga |
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Description: 基于MFCC的GMM的说话人识别，是很好的语音处理程序-MFCC of the GMM based speaker recognition, speech processing is a very good program
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Size: 1180672 |
Author: 周钰川 |
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Description: speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
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Size: 3756032 |
Author: midou54 |
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Description: speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
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Size: 3756032 |
Author: midou54 |
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Description: 语音识别的几篇不错的论文,MFCC GMM 及其实现
-Several good speech recognition, MFCC GMM and its implementation
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Size: 23891968 |
Author: 翟玉杰 |
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Description: 实现多个人的说话人识别，基于gmm模型，用mfcc参数训练-voice conversion based on gmm
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Size: 1700864 |
Author: 李金中 |
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Description: 通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
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Size: 293888 |
Author: 范敏 |
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Description: 基于MFCC的GMM的语音识别，先是通过MFCC提取语音信号的特征向量，然后用GMM进行分类识别(Voice recognition of GMM based on MFCC.First, the feature vectors of speech signals are extracted through MFCC, and then classified by GMM.)
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Size: 1502208 |
Author: Akiko |
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