Description: 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 Platform: |
Size: 24961 |
Author:mesu |
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Description: 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 Platform: |
Size: 24576 |
Author:mesu |
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Description: 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. Platform: |
Size: 114688 |
Author:张小天 |
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Description: 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. Platform: |
Size: 4114432 |
Author:大夹馅 |
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Description: 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 Platform: |
Size: 1024 |
Author:cao |
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Description: 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 Platform: |
Size: 1241088 |
Author:strike |
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Description: 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. Platform: |
Size: 9216 |
Author:st |
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Description: The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients Platform: |
Size: 771072 |
Author:saurabh |
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Description: 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 Platform: |
Size: 1024 |
Author:Katherine |
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Description: 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) Platform: |
Size: 9216 |
Author:AIGANG
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Description: 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) Platform: |
Size: 1024 |
Author:明明不到20字节
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Description: 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.) Platform: |
Size: 1024 |
Author:吃糖の元宝 |
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Search - mel-cepstrum coefficients