Search - MFCC

Search - MFCC - List

【Speech/Voice recognition/combine】 DTW_V_1_0 DL : 0: 动态世间规整（DTW）jar包，里面包含了所有包括特征提取mfcc fft enframe 等所有功能，只需输入语言路径即可-Dynamic world of regular (DTW) jar package, which contains all the features extracted include all the features of mfcc fft enframe etc., just enter the path to the language
Update : 2024-05-13 Size : 663552 Publisher : j.t.gu
【Speech/Voice recognition/combine】 SpeakerRecognition DL : 0: speaker recognition process (MFCC + VQ)
Update : 2024-05-13 Size : 4096 Publisher : Hasna
【Voice Compress】 yuyinMFCCjuli DL : 0: 提取语音信号的MFCC特征参数，计算三段语音的匹配情况，并计算它们的MFCC距离-MFCC feature extraction of speech signals, computing the matching of three sections of the speech, and calculate their distance MFCC
Update : 2024-05-13 Size : 13312 Publisher : 李海燕
【matlab】 speechfiles DL : 0: This files has code for LBG algorithm, that is vector quantization, MFCC and sinlence removal code
Update : 2024-05-13 Size : 1024 Publisher : rani
【Software Engineering】 20P_ISOLATED DL : 0: 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 five speakers, speaking 10 digits each is collected under acoustically controlled room is taken. MFCC are extracted speech signal of spoken words. To cope with different speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for measuring similarity between two sequences, which may vary in time or speed.-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 five speakers, speaking 10 digits each is collected under acoustically controlled room is taken. MFCC are extracted speech signal of spoken words. To cope with different speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for measuring similarity between two sequences, which may vary in time or speed.
Update : 2024-05-13 Size : 667648 Publisher : ali khaleel
【Console】 MFCC1 DL : 0: 提取语音的MFCC特征参数，在语音识别（Speech Recognition）和话者识别（Speaker Recognition）方面，最常用到的语音特征就是梅尔倒谱系数（Mel-scale Frequency Cepstral Coefficients，简称MFCC）。-MFCC feature parameters extracted speech, speech recognition (Speech Recognition) and speaker verification (Speaker Recognition) terms, the most commonly used speech features that Mel Cepstral (Mel-scale Frequency Cepstral Coefficients, referred MFCC).
Update : 2024-05-13 Size : 1755136 Publisher : pxchen
【Speech/Voice recognition/combine】 Speech-recognition DL : 0: 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.
Update : 2024-05-13 Size : 4096 Publisher : 徐金
【AI-NN-PR】 Speech-Signal-Processing DL : 0: 语音信号处理c语言程序-音高、加窗、MFCC、PLP、等-C programming language speech signal processing- pitch, add window, MFCC, PLP, etc
Update : 2024-05-13 Size : 609280 Publisher : 鹰翔Howard
【Browser Plugins】 mfcc_m DL : 0: 可以实现梅尔倒谱系数参数的分析与合成mf-You can achieve Mel Cepstral parameters analysis and synthesis mfcc
Update : 2024-05-13 Size : 1024 Publisher : 崔豆花
【Speech/Voice recognition/combine】 mfcc_extraction DL : 0: 音频特征MFCC系数提取函数，包含静态12维，一阶差分和二阶差分24维，共36维，能够极大地提高音频识别的效果。-MFCC coefficient audio feature extraction functions, including static 12-dimensional, first-order and second-order differential difference dimension 24, a total of 36 dimensions, can greatly improve the audio recognition.
Update : 2024-05-13 Size : 1024 Publisher : PC
【File Format】 lpc DL : 0: hai I wnat to know how the mfcc feature extraction done with examples-hai I wnat to know how the mfcc feature extraction done with examples...
Update : 2024-05-13 Size : 292864 Publisher : mahesh
【Program doc】 pxc3879438 DL : 0: An automatic speech recognition system for Digits in Malayalam Language is implemented using MFCC and GMM.
Update : 2024-05-13 Size : 623616 Publisher : chawki
【Other】 shuohuaren DL : 0: 识别说话人，通过mfcc算法，实现说话人识别，- Speaker Recognition
Update : 2024-05-13 Size : 8465408 Publisher : 王先生
【Special Effects】 penew DL : 0: 用matlab对语音信号进行mfcc参数提取-MFCC parameter extraction of speech signal using MATLAB
Update : 2024-05-13 Size : 2048 Publisher : pengyanqiu
【Audio program】 enframe.m DL : 0: mfcc的子函数编写，enframe函数的程序，分帧函数-Functions enframe function of writing mfc
Update : 2024-05-13 Size : 2048 Publisher : youxin
【Audio program】 cmvnpdf.m DL : 0: mfcc的参数实现，对声音的加窗和降噪处理-mfcc parameters to achieve
Update : 2024-05-13 Size : 3072 Publisher : youxin
【Audio program】 melbankm.m DL : 0: 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 : 2024-05-13 Size : 2048 Publisher : youxin
【Embeded-SCM Develop】 STM32-Speech-Recognition-Master DL : 0: 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 : 2024-05-13 Size : 325632 Publisher : Chenkly
【matlab】 mfcc_m 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 : 2024-05-13 Size : 1024 Publisher : 叶天
【Speech/Voice recognition/combine】 JLDATA DL : 0: 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 : 2024-05-13 Size : 9216 Publisher : silver teng

« 1 2 ... 33 34 35 36 37 3839 40 41 »