Search - mel-cepstrum coefficients

Search - mel-cepstrum coefficients - List

[Speech/Voice recognition/combine] ma_by DL : 0: The Matlab functions and scripts 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 Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by \"ma_fc\") - ma_cm_visu visualize a cluster model (as returned by \"ma_fc\") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface -The Matlab functions and scripts in the MA t oolbox are : - ma_sone wav (PCM) to betamethasone ('s specific loudness ensation) - ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients) - ma_sh betamethasone to Sp ectrum Histogram - ma_ph betamethasone to Periodicity Hi stogram - ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering) - ma_cms cl uster models to distance (Cluster Model Simila rity) - ma_kmeans kmeans clustering (used by "m a_fc ") - ma_cm_visu visualize a cluster model ( as returned by "ma_fc") - ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface
Update : 2008-10-13 Size : 24.38kb Publisher : mesu
[Speech/Voice recognition/combine] melcepst DL : 0: 求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
Update : 2008-10-13 Size : 2.34kb Publisher : wh
[Speech/Voice recognition/combine] ma_by DL : 0: The Matlab functions and scripts 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 Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by "ma_fc") - ma_cm_visu visualize a cluster model (as returned by "ma_fc") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface -The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface
Update : 2025-02-19 Size : 24kb Publisher : mesu
[Speech/Voice recognition/combine] melcepst DL : 0: 求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
Update : 2025-02-19 Size : 2kb Publisher : wh
[Speech/Voice recognition/combine] 222 DL : 0: 建立了一种基于自组织神经网络的语音识别系统。对语音信号进行了预处理, 提取了语音信号的线性预测系数、线性预测倒谱系数和Mel 倒谱特征系数, 建立了基于自组织神经网络的识别判决模型.-Established a self-organizing neural network-based speech recognition system. Carried out on the speech signal pre-processing, extraction of the speech signal linear prediction coefficient, linear prediction cepstral coefficients and the characteristics of Mel cepstrum coefficient, based on self-organizing neural network model of identification judgments.
Update : 2025-02-19 Size : 112kb Publisher : 张小天
[Speech/Voice recognition/combine] mfcc DL : 0: 采用间接方法提取MEL倒谱，先计算自相关系数，然后由自相关系数计算LPC预测系数和反射系数，再计算LPC倒谱系数，最后由LPC倒谱系数计算MFCC 。-Indirect method of extracting MEL cepstrum, first calculating the autocorrelation coefficient, and then auto-correlation coefficient calculated by the LPC prediction coefficient and reflection coefficient, and then calculating the LPC cepstral coefficients, and finally by the LPC cepstral coefficient calculating MFCC.
Update : 2025-02-19 Size : 3.92mb Publisher : 大夹馅
[matlab] melcepst DL : 0: 计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames-Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames
Update : 2025-02-19 Size : 2kb Publisher : 凝空子
[Speech/Voice recognition/combine] mel DL : 0: 自己编写的求mel三角滤波器系数的程序，比matlab自带程序容易理解，帮助大家理解mel三角滤波器-I have written for triangular mel filter coefficients procedures, than matlab own procedures easy to understand and help us to understand the triangular mel filter
Update : 2025-02-19 Size : 1kb Publisher : cao
[Speech/Voice recognition/combine] mfcc DL : 0: omputes Mel Frequency Cepstrum Coefficients (MFCC)
Update : 2025-02-19 Size : 1kb Publisher : Parvatishankar
[Speech/Voice recognition/combine] 2028 DL : 0: 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 khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-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 khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik SMM
Update : 2025-02-19 Size : 1.18mb Publisher : strike
[matlab] MelCepstrumCoefficients DL : 0: 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.
Update : 2025-02-19 Size : 9kb Publisher : st
[DSP program] computeMelSpectrum DL : 0: This source code calculates mel cepstrum coefficients for automatic speaker recognition system.
Update : 2025-02-19 Size : 1kb Publisher : vinay
[Speech/Voice recognition/combine] speech DL : 1: 包含语音端点检测，lpc倒谱系数，durbin算法，mel倒谱系数以及复倒谱系数。-Contains the speech endpoint detection, the lpc cepstrum coefficients, durbin algorithm, mel cepstral coefficients and the complex cepstrum coefficients.
Update : 2025-02-19 Size : 3kb Publisher : 康健
[Other] plp-mfcc-lpc-lpcc DL : 0: 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
Update : 2025-02-19 Size : 24kb Publisher : nawel
[Program doc] MINI-PRO DL : 0: The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients
Update : 2025-02-19 Size : 753kb Publisher : saurabh
[Audio program] mfcc DL : 0: 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 : 2025-02-19 Size : 1kb Publisher : Katherine
[Other] 梅尔倒谱系数 DL : 0: 求解梅尔倒谱系数的相关matlab程序，对理解其系数的形成有很大帮助(Mel cepstrum coefficients to solve the relevant matlab program, the understanding of its coefficient of formation is very helpful)
Update : 2025-02-19 Size : 9kb Publisher : AIGANG
[Speech/Voice recognition/combine] MFCC DL : 0: 在MATLAB中完成对语音的梅尔倒谱系数的提取(Extraction of Mel cepstrum coefficients)
Update : 2025-02-19 Size : 1kb Publisher : 刘阳
[matlab] YCL DL : 0: 对信号进行梅尔倒谱系数特征采集之前的预处理，包括分帧加窗、基于短时能量的双门限判别、除噪、预加重等(The preprocessing of Mel cepstrum coefficients before the signal is carried out, including frame windowing, double threshold discrimination based on short-time energy, denoising and pre emphasis)
Update : 2025-02-19 Size : 1kb Publisher : 明明不到20字节
[Speech/Voice recognition/combine] mfcc 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 cepstrum coefficient abbreviation. The frequency of Mel is based on the auditory characteristics of human ear. It is nonlinear corresponding to Hz frequency. Mel frequency cepstrum coefficients (MFCC) utilize the relationship between them to calculate the frequency spectrum characteristics of Hz. MFCC has been widely used in the field of speech recognition.)
Update : 2025-02-19 Size : 1kb Publisher : 吃糖の元宝

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