Search - MFCC

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【Industry research】 4413sipij08_2 DL : 0: FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image processing. Till now it has been used in speech recognition, for speaker identification.
Update : 2024-05-13 Size : 232448 Publisher : OTHMENE
【Other】 fft_ifft DL : 0: 提取MFCC参数，再由MFCC重构幅值谱，利用幅值谱重构语音。-MFCC parameter extraction, and then reconstructed amplitude spectrum by MFCC, use voice amplitude spectrum reconstruction.
Update : 2024-05-13 Size : 1024 Publisher : chenhuang
【Speech/Voice recognition/combine】 7102 DL : 0: 基于匹配滤波器的语音识别。本程序接触匹配滤波对加噪语音进行匹配输出，使得信号的信噪比得到提升，送入后端DTW的语音识别系统，实验证明，本程序对语音提升有很大的帮助-A speech recoginiton base on the matched filter. this code will use matched filter and get speech SNR output enhanced. then we will extrace MFCC, send the feature to the DTW recongition system, the test result verify that this method is good for speech recoginition SNR enhanced.
Update : 2024-05-13 Size : 4656128 Publisher : 袁斌
【Audio program】 AudioFeatures DL : 0: Extracting MFCC features for audio files and removing silence them. Then calculating some statistical functions-Extracting MFCC features for audio files and removing silence them. Then calculating some statistical functions
Update : 2024-05-13 Size : 26624 Publisher : sara
【matlab】 mfcc DL : 0: MEL FREQUENCY CEPSTRAL COEFFICIENTS
Update : 2024-05-13 Size : 314368 Publisher : naveeda
【Audio program】 mfcc2delta DL : 0: In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
Update : 2024-05-13 Size : 1024 Publisher : abdou
【Software Engineering】 mfcc DL : 0: extraction feature of speech
Update : 2024-05-13 Size : 4096 Publisher : Agha Mokhtar
【matlab】 mfcc DL : 0: Matlab source code for Mel Frequency cepstral coefficient
Update : 2024-05-13 Size : 7168 Publisher : Akash
【Speech/Voice recognition/combine】 mfc DL : 0: mfcc c++ code This program is free software you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation either version 2 * of the License, or (at your option) any later -mfcc c++ code This program is free software you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation either version 2 * of the License, or (at your option) any later ...
Update : 2024-05-13 Size : 137216 Publisher : sss
【CSharp】 Dtw DL : 0: 这是一个基于DTW的语音识别的代码，里面包含端点检测和MFCC的提取。-This is a DTW-based speech recognition code, which contains end point detection and the extraction of MFCC.
Update : 2024-05-13 Size : 1756160 Publisher : 刘烨
【matlab】 mfcc DL : 0: Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. They are derived a type of cepstral representation of the audio clip (a nonlinear spectrum-of-a-spectrum ). The difference between the cepstrum and the mel-frequency cepstrum is that in the MFC, the frequency bands are equally spaced on the mel scale, which approximates the human auditory system s response more closely than the linearly-spaced frequency bands used in the normal cepstrum.-Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. They are derived a type of cepstral representation of the audio clip (a nonlinear spectrum-of-a-spectrum ). The difference between the cepstrum and the mel-frequency cepstrum is that in the MFC, the frequency bands are equally spaced on the mel scale, which approximates the human auditory system s response more closely than the linearly-spaced frequency bands used in the normal cepstrum.
Update : 2024-05-13 Size : 1024 Publisher : Perfect
【GUI Develop】 mFCC DL : 0: 可以参考他的引擎-simple speech synthesis (text to speech), engaged in this aspect, he can refer to the engin-Can refer to his engine-simple speech synthesis (text to speech), engaged in this aspect, he can refer to the engin
Update : 2024-05-13 Size : 3220480 Publisher : 周东旭
【matlab】 speaker-recognition DL : 0: 基于mfcc和gmm的说话人识别系统，go.m为主程序。部分程序采用的是台湾张智星先生编写的sar和dcpr工具箱，在此表示感谢。-Mfcc and gmm based speaker recognition system, go.m main program. Part of the program is used in Taiwan, Mr. Zhang Zhi Xing written sar and dcpr toolbox to express my gratitude.
Update : 2024-05-13 Size : 1260544 Publisher : vmso
【matlab】 HMM_VoiceRecognation DL : 0: 通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preprocessing, MFCC feature extraction, HMM training and HMM recognition and other major modules and for the model initialization exist in the practical application of HMM and data overflow and other issues are analyzed, we introduced some measures to improve system performance.
Update : 2024-05-13 Size : 1096704 Publisher : David
【matlab】 m_files DL : 0: MFCC，Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征，MFCC已经广泛地应用在语音识别领域。-MFCC, Mel Frequency Cepstral Coefficients abbreviations. Mel frequency is proposed based on the human auditory characteristics. It comes with a nonlinear correspondence Hz frequency. Mel Frequency Cepstral Coefficients (MFCC) is the use of such a relationship between them, calculate Hz spectral characteristics obtained, MFCC has been widely used in speech recognition.
Update : 2024-05-13 Size : 1024 Publisher : David
【Program doc】 MINI-PRO DL : 0: The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients
Update : 2024-05-13 Size : 771072 Publisher : saurabh
【Program doc】 synopsis DL : 0: The short synopsis consists of the explanation for speaker recognition using gmm and mf-The short synopsis consists of the explanation for speaker recognition using gmm and mfcc
Update : 2024-05-13 Size : 1620992 Publisher : saurabh
【Program doc】 New-Microsoft-Office-Word-Document DL : 0: The document consists of screenshot results for the project on speaker recognition using gmm and mf-The document consists of screenshot results for the project on speaker recognition using gmm and mfcc
Update : 2024-05-13 Size : 225280 Publisher : saurabh
【VTK】 mfcc_pudn DL : 0: 课程设计，mfcc特征提取，matlab实现，代码比较简短-Curriculum design, mfcc feature extraction, matlab, the code is relatively brief
Update : 2024-05-13 Size : 1024 Publisher : Alost
【MiddleWare】 word_recognition DL : 0: word recognition using VAD MFCC G-word recognition using VAD MFCC GMM
Update : 2024-05-13 Size : 36864 Publisher : sagy

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