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mel频率到普系数的处理,mfcc特征参数提取-mel frequency spectral coefficients down process, mfcc feature extraction
Update : 2024-05-11 Size : 2048 Publisher : youxin

DL : 0
梅尔频率倒谱系数(Mel Frequency Cepstrum Coefficient, MFCC)-Mel Frequency Cepstral (Mel Frequency Cepstrum Coefficient, MFCC) pedigree
Update : 2024-05-11 Size : 1024 Publisher : ssw

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 上存储空间相对较小、计算能力也相对较弱的实际情况,对算法进行优化。最终完成于 STM32 微处理器上的特定人语音识别系统。-Implement speech recognition processing project in commercially available STM32 development board. Identification is the process: pre-filter, ADC, framing, endpoint detection, pre-emphasis, windowing, feature extraction, feature matching. Endpoint detection (VAD) short-time amplitude and short-term zero rate combined. After detecting an effective voice, according to the characteristics of human auditory perception, calculated for each frame of speech Mel Frequency Cepstral Coefficients (MFCC). Then dynamic time warping (DTW) algorithm and feature template matches the final output recognition result. First with Matlab simulation algorithm described above, after several trials to get the optimal value of each coefficient within the desired algorithm. The algorithm will migrate to STM32 development board, the porting process according to the STM32 relatively small storage space, computing power is relatively weak situation of the optimization algorithm. Finally completed on the STM32 micr
Update : 2024-05-11 Size : 325632 Publisher : Chenkly

DL : 0
实现mfcc梅尔倒谱系数的参数提取,可以修改具体参数把功能进行少许变更-The parameter extractions mfcc Mel cepstral pedigree, you can modify the specific parameters of the function a little change
Update : 2024-05-11 Size : 1024 Publisher : 叶天

摘 要:本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗(汉明窗)、端点检测;特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW),研究对象是特定人的语音识别,并在MATLAB平台上实现。为了进行后续研究,首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件,并转化成 “.wav”格式的文件。-Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.
Update : 2024-05-11 Size : 9216 Publisher : silver teng

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.
Update : 2024-05-11 Size : 1476608 Publisher : 裴安山

DL : 0
在DTW语音识别算法中经常会用到的在MEL频率下组成的若干个带通滤波器-DTW speech recognition algorithm is often used in the frequency of the MEL composed of a number of bandpass filter
Update : 2024-05-11 Size : 2048 Publisher : 何冲

梅尔频率倒谱系数(MFCC)提取语音特征信号-Mel Frequency Cepstral Coefficients (MFCC) feature extraction of voice signals
Update : 2024-05-11 Size : 1024 Publisher : 溪瑜

DL : 0
Program to extract feature vectors audio file using mel frequency scale-Program to extract feature vectors audio file using mel frequency scale
Update : 2024-05-11 Size : 24576 Publisher : su

使用MATLAB提取梅尔倒谱系数MFCC特征值-Using MATLAB MFCC feature extraction of Mel-cepstrum coefficient values
Update : 2024-05-11 Size : 1024 Publisher : YIJIANTAO

DL : 0
mfcc mel frequency cepstrum coff good
Update : 2024-05-11 Size : 386048 Publisher : sulieman

DL : 0
对声音信号进行MEL滤波,增大声音的识别能力-Using MEL sound signal filtering to increasing the voice recognition ability
Update : 2024-05-11 Size : 2048 Publisher : meng

MFCC 特征参数 提取一段音频的梅尔系数特征参数的matlab源代码-Extract the MEL coefficient of an audio characteristic parameters of the matlab source code
Update : 2024-05-11 Size : 1024 Publisher : 张振华

DL : 0
梅尔频谱的应用,处理声音信号,提取声音特征,得到声音特征-Mel spectrum of applications, processing audio signals to extract audio feature to give audio feature
Update : 2024-05-11 Size : 2048 Publisher :

Features extraction form voice signal, mel frequency cepstral coefficients, mf-Features extraction form voice signal, mel frequency cepstral coefficients, mfcc
Update : 2024-05-11 Size : 1024 Publisher : nskandro

mel bank filters fo features extraction for voice signal
Update : 2024-05-11 Size : 1024 Publisher : nskandro

声音识别中的分帧、加窗、mel滤波器的设计及滤波功能-in the field of speech recognition,these codes could make it come true that enframing and hamming.Also, it involves the designs of mel filter.
Update : 2024-05-11 Size : 7168 Publisher : 李信贤

DL : 0
matlab实现语音信号基于mel滤波器的端点检测,并应用于一个语音文件上。-Matlab to achieve voice signal based on mel filter endpoint detection, and applied to a voice file.
Update : 2024-05-11 Size : 177152 Publisher : 宋飞

DL : 0
Of MEL frequency cepstrum coefficient of matlab, a good source, can very we-Of MEL frequency cepstrum coefficient of matlab, a good source, can very well
Update : 2024-05-11 Size : 2048 Publisher : AJBSpmzgo&11247

Of MEL frequency cepstrum coefficient of matlab, a good source, can very we-Of MEL frequency cepstrum coefficient of matlab, a good source, can very well
Update : 2024-05-11 Size : 2048 Publisher : ble@780792
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