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matlabmfcc
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MEL FREQUENCY CEPSTRAL COEFFICIENTS
Update : 2024-05-12 Size : 314368 Publisher : naveeda

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 : 2024-05-12 Size : 1024 Publisher : abdou

matlabmfcc
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Matlab source code for Mel Frequency cepstral coefficient
Update : 2024-05-12 Size : 7168 Publisher : Akash

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一种基于mel域的语音端点检测算法,简单易行,效果还不错!-mel voice activity detection
Update : 2024-05-12 Size : 619520 Publisher : tony

In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.
Update : 2024-05-12 Size : 23552 Publisher : desinfox@gmail.com

matlabmfcc
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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 : 2024-05-12 Size : 1024 Publisher : Perfect

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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 : 2024-05-12 Size : 1024 Publisher : David

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The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients
Update : 2024-05-12 Size : 771072 Publisher : saurabh

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语音识别MFCC特征提取matlab代码。 「梅尔倒频谱系数」(Mel-scale Frequency Cepstral Coefficients,简称MFCC),是最常用到的语音特征,此参数考虑到人耳对不同频率的感受程度,因此特别适合用在语音辨识。-Speech recognition MFCC feature extraction matlab code. \ Mel cepstrum coefficient (Mel- scale Frequency Cepstral Coefficients, MFCC), is the most commonly used to the phonetic characteristics of this parameter given ear to the feelings of different frequencies, so especially suitable for use in speech recognition
Update : 2024-05-12 Size : 1024 Publisher : Katherine

Othermfcc1
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利用梅尔倒谱系数提取特征参数,可用于人声和昆虫声信号处理-MEL cepstrum coefficient of extraction sound characteristic parameters
Update : 2024-05-12 Size : 1024 Publisher : hexiaomei

matlabmel1
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matlab实现mel倒谱系数提取的子函数-matlab achieve mel cepstral coefficients extracted Functions
Update : 2024-05-12 Size : 1024 Publisher : 陈劭康

This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted speech signal of spoken words. An experimental of total five speakers, speaking 10 digits each is collected under acoustically controlled room is taken. MFCC are extracted speech signal of spoken words. To cope with different speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for measuring similarity between two sequences, which may vary in time or speed.-This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted speech signal of spoken words. An experimental of total five speakers, speaking 10 digits each is collected under acoustically controlled room is taken. MFCC are extracted speech signal of spoken words. To cope with different speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for measuring similarity between two sequences, which may vary in time or speed.
Update : 2024-05-12 Size : 667648 Publisher : ali khaleel

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提取语音的MFCC特征参数,在语音识别(Speech Recognition)和话者识别(Speaker Recognition)方面,最常用到的语音特征就是梅尔倒谱系数(Mel-scale Frequency Cepstral Coefficients,简称MFCC)。-MFCC feature parameters extracted speech, speech recognition (Speech Recognition) and speaker verification (Speaker Recognition) terms, the most commonly used speech features that Mel Cepstral (Mel-scale Frequency Cepstral Coefficients, referred MFCC).
Update : 2024-05-12 Size : 1755136 Publisher : pxchen

MFCC参数是基于人的听觉特性利用人听觉的屏蔽效应,在Mel标度频率域提取出来的倒谱特征参数。-MFCC parameters is based on human auditory characteristics using human auditory masking effect, in Mel scale frequency domain parameters of cepstrum.
Update : 2024-05-12 Size : 4096 Publisher : 徐金

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可以实现梅尔倒谱系数参数的分析与合成mf-You can achieve Mel Cepstral parameters analysis and synthesis mfcc
Update : 2024-05-12 Size : 1024 Publisher : 崔豆花

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从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数-从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 Extraction of speaker characteristic the voice signal is the key of voiceprint recognition. Mel frequency coefficients of the feature extraction method of speech signal is introduced.
Update : 2024-05-12 Size : 4096 Publisher : 熊燕然

MEL FILTER BANK CENTER FREQUENCY ESTIMATION,MEL FREQUENCY ESTIMATIONS
Update : 2024-05-12 Size : 2048 Publisher : JO

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功能简介: 1。可输入完全的IP地址,IP段进行搜索相应物理地址; 2。可自行注册自己的物理地址,自动添加用户的IP对应地址。 目前在进行从域名查IP的编写,因为多人要求,就先暂时提供目前的功能吧。至于从物理地址查IP,因为梅儿转的数据库在IP转数字方面的逆运算还暂时想不出来,所以还不做-Features: 1. You can enter the full IP address, IP segment corresponding physical address search 2. You can register their own physical address corresponding to automatically add the user s IP address. IP is currently working on the preparation of the investigation the domain name, because people claim to temporarily provide the current functionality of it. As for the physical address check IP, because Mel turn to digital IP aspects of the inverse also temporarily can not think, so do not
Update : 2024-05-12 Size : 318464 Publisher : mcujc172

梅尔滤波器组,梅尔频率能准确反映人耳的听觉特性,将普通频率转换为梅尔频率-Mel filter group, Mel frequency can accurately reflect the characteristics of human ears, the common frequency conversion for Mel frequency
Update : 2024-05-12 Size : 5120 Publisher : 陈鹏鹏

梅尔特征参数提取可以设置的Mel滤波器通道数,采样频率-Mel feature parameters extraction can be set to the number of Mel filter channels, sampling frequency
Update : 2024-05-12 Size : 2048 Publisher : 陈鹏鹏
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