搜索资源列表
shuzduyinzhuanMEL
- 一段数字读音转MEL系数的源码，相信在语音识别特征提取中可以有和大的用处-a digital switch pronunciation MEL coefficient of the source code, I believe the speech recognition feature extraction can be a useful and
MEL
- 该程序适用于语音识别系统，其用G语言实现了美尔倒谱的labview程序，非常推荐-This procedure applies to speech recognition systems, with the G language of Simmel cepstrum labview program, highly recommended
MATLAB-Mel
- 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
mfcc
- 声音识别——提取MFCC特征C程序，包含了mel域三角滤波器的设计等内容-The voice recognition- extract MFCC feature C program, including the mel domain triangle filter design
Mel_RBF
- 基于Mel倒谱特征和RBF网络的孤立词语音识别方法-Mel-based cepstral features and RBF networks isolated word speech recognition method
Lecture02
- voice box contains mel function and gaussian func for voice recognition/ verification
Speech_Test
- 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
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
melfb
- 语音识别中，提取MFCC特征参数时用到的MEL滤波器组函数，函数名为melfb-the function of melfb for speech recognition
mel_main
- 基于矢量量化的说话人识别的研究mel算法的部分程序段-VQ-based Speaker Recognition Algorithm part of the program segment mel
speech_recognition
- Speech Recognition using MEL cepstral Coefficients
melfilter
- melfiltter function use for speech recognition and have mel filter bank
gmfcc
- 语音识别的特征参数提取算法——Mel倒谱参数提取（MFCC）可以作为语音识别特征参数。-Speech recognition feature extraction algorithm- Mel cepstrum extraction (MFCC) feature parameters as speech recognition.
speech-recognition
- 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
Voice-Recognition-a-Identification
- Title: "Voice Recognition and Identification system". Mainly involves: 1: Human speaker recognition 2: Technical data of samples 3: linear and logarithmic power spectrum plot 4: Plots for different values for N 5: Mel Space 6:
mel-frequency!
- Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
speaker-recognition
- mfcc用于求取训练样本的特征值，其需要melbankm和enframe两个程序。 enframe用于将语音分帧，melbankm用于产生mel三角滤波器组，vqlbg用于获取说话人码书，disteu程序用于计算两个矩阵间的距离，-mfcc strike eigenvalues for the training sample, which requires melbankm and enframe two procedures. enframe for the v
Speech-recognition
- MFCC参数是基于人的听觉特性利用人听觉的屏蔽效应，在Mel标度频率域提取出来的倒谱特征参数。-MFCC parameters is based on human auditory characteristics using human auditory masking effect, in Mel scale frequency domain parameters of cepstrum.
STM32-Speech-Recognition-Master
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
DTW-isolated-word-speech-recognition
- 基于动态时间规整的孤立词语音识别，用梅尔倒谱系数作为识别特征。-Based on dynamic time warping of isolated word speech recognition, using Mel s coefficient as the recognition feature.