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Research_0n_Speech_Cepstral_Features
- 该文在研究基于线性预测倒谱和非线性MEL刻度倒谱特征的基础上，研究了LPCC和MFCC参数提取的算法原理及提取算法，提出了一级、二级差分倒谱特征参数的提取算法。识别实验验证了MFCC参数的鲁棒性优于LPCC参数。-In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter ex
1003.5627
- Wavelet-Based Mel-Frequency CepstralCoefficients for Speaker Identification using Hidden Markov Models
an-adaptive-algorithm-for-mel-cepstral-analysis-o
- hidden markov model based text to speech
melcepst
- melcepst implements a mel-cepstrum front end for a recogniser
Abdul_Syafiq_Abdull_Sukor
- the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method
mel-frequency!
- Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
Frequency-Cepstral-
- 基于Mel频率倒谱系数和遗传算法的煤矸界面识别研究-Recognition of gangue interface Mel Frequency Cepstral Coefficients and Genetic Algorithm
mfcc
- 求出语音mel倒谱系数的matlab代码，返回mfc-function mfc=mfcc(x)
mfcc
- 在语音辨识（Speech Recognition）和语者辨识（Speaker Recognition）方面，最常用到的语音特征就是「梅尔倒频谱系数」（Mel-scale Frequency Cepstral Coefficients，简称MFCC），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。
S1-01_02K40M
- 介绍了关于奥特梅尔公司的S1-01-02K40M 工业线阵相机的技术参数-Mel Ott presented on the company s S1-01-02K40M industrial technical parameters of the linear array camera
tain
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarit
tese
- 耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarit
4413sipij08_2
- FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of usin
MEL_VAD
- 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
MINI-PRO
- The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients
20P_ISOLATED
- 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 f
mfcc
- mfcc mel frequency cepstrum coff good