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The Matlab functions and scr ipts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to
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求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
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MATLAB下计算Mel倒谱的函数，在语音特征提取方面常用-Mel cepstrum calculated under MATLAB functions used in the speech feature extraction
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MATLAB下使用Mel倒谱特征进行说话人识别源代码-MATLAB using Mel Cepstrum for Speaker Recognition Source Code
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Mel cepstrum implementation in c-Mel cepstrum implementation in c++
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omputes Mel Frequency Cepstrum Coefficients (MFCC)
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OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI
Kö ksal Ö CAL
Ankara Ü niversitesi
Fen Bilimleri Enstitüsü
Elektronik Mühendisliğ i Anabilim Dalı
Danı ş man : Yrd. Doç . Dr. H. Gö kh
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求梅尔倒谱系数的matlab程序，主程序是melcepst。-Mel Cepstrum Coefficients seeking matlab program, the main program is melcepst.
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mel frequency cepstrum coeffcients
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求mel频率倒谱系数的程序，求的准确，时间相比其他程序多一点-Mel frequency cepstrum seeking the procedure, find the exact time a little more compared to other programs
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语音识别系统，包括预处理，汉明窗，梅尔频率倒谱率，离散余弦变换，前置滤波器组，对数能量，滤波器组，基本的滤波器组，dtw-speech recognition system，including Pretreatment, Hamming window, Mel frequency cepstrum rate, discrete cosine transform, pre-filter, log energy, filter, basic filter，dtw
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source code of methods of parameters extractions from audio files. MFCC: Mel Frequency Cepstrum Coefficients. LPC: Linear predictive Coefficients. LPCC:Linear predictive Cepstrum Coefficients. PLP and Rasta-PLP
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梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- 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 nonline
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matlab版本，提取语音梅尔频谱倒谱系数（MFCC）特征-Matlab version, Mel frequency cepstrum coefficient（MFCC） feature extraction of speech
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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 v
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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.
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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
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The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients
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梅尔频率倒谱系数(Mel Frequency Cepstrum Coefficient, MFCC)-Mel Frequency Cepstral (Mel Frequency Cepstrum Coefficient, MFCC) pedigree
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摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。
该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis
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