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MFCC (Mel Frequent Cepstral Coefficient) in M-File.
epresentation 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.
MFCCs derived as follows:
1. Ta
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In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstr
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为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件
设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参
数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction a
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一些有用的MATLAB编写的MFCC算法的代码。-Some useful codes for Mel-Frequency Cepstral Coefficients Algorithm, Writed by Matlab.
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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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MEL FREQUENCY CEPSTRAL COEFFCIENT
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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 recordi
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Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3
Encoded Music
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The basis for this comparison is a song’ s musical ‘ fingerprint’ , which is computed by
clustering a set of spectral features represented by the Mel-Frequency Cepstral Coefficients
(MFCC) of the audio signal. This fingerprint not onl
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MFCC program, mel frequency cepstral coeficient
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mfcc coefficient means mel frequency cepstral coefficient
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Find the Mel frequency cepstral coefficients (ceps) corresponding to an input speech signal.
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Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods-Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods
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Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods for Model Training
-Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods for Model Training
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Features extraction of Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods-Features extraction of Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods
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这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。-This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.
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In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text
independent speaker identification system. Jitter and shimmer features are extracted from the
fundamental frequency contour and added to basel
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MEL FREQUENCY CEPSTRAL COEFFICIENTS
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Matlab source code for Mel Frequency cepstral coefficient
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