搜索资源列表
特征提取
- 特征提取：重点是几何特征（环，交叉点，端点）和变换,例子就是这些几何特征的提取。-Feature Extraction : focus on the geometric characteristics (Central, a crossover point, endpoint) and the transformation of these examples is the geometric features are extracted.
dtwglcgx
- 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测，从原始信号提取有效语音段，从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition.
Neural_Network_Code_CHAPT8
- 特征提取：重点是几何特征（环，交叉点，端点）和变换-Feature Extraction : focus on the geometric characteristics (Central, crossover point, endpoint) and the Transform
检测语音信号
- 语音的端点检测要用短时平均能量来检测 语音特征的提取要用13阶的lpc 模式匹配要用欧氏距离。
speechbox
- 《matlab扩展编程》光盘资料.关于端点检测，录音，参数提取，HMM,LPC,MFCC,DYW等一些源代码-err
bpsk15
- 语音端点检测，是语音压缩时提取特征参数的一个必要的过程，这个程序主要是对这个过程的一个小的程序。希望对学语音的有帮助-Extreme point detecting is a primily process to get the eigenparameter when you compressing the speech.This program is a small one,it will help for the learner.
FastICA_21
- 快速独立分量变换，可用于信号特征的提取以及端点检测等，非常好用！-Fast independent component transform, can be used for the extraction of signal characteristics, such as endpoint detection, as well as very easy to use!
LPCC_MFCC_VAD
- MFCC特征提取算法以及语音端点检测源码-MFCC feature extraction algorithm and voice activity detection source
endpointdetecting(matlab)
- 语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
vadhumming
- 哼唱检索中端点检测，自己改过的。可以提取wav频率进行检测。-Humming in the endpoint detection, they turn over
myhmm
- 数字0-9的语音识别算法，采用双门限端点检测算法，mfcc和lpcc相结合的特征参数提取。-Numbers 0-9 speech recognition algorithm, adopts double threshold endpoint detection algorithm, the combination of MFCC and LPCC feature parameter extraction.
chmm
- 数字0-9的语音识别实现，采用双门限端点检测算法，mfcc和lpcc相结合的特征参数提取，识别率较高。-Numbers 0-9 of speech recognition, adopts double threshold endpoint detection algorithm, the combination of MFCC and LPCC feature parameter extraction, the recognition rate is higher.
SVM-(2)
- 说话人识别算法SVM 全套可以运行，包含端点检测，特征提取等-Speaker recognition algorithm a full set of SVM can run, contains the endpoint detection, feature extraction
Main-peak-ratio-for-VAD
- 噪声帧与有话帧之间主副峰的比值有差距，利用该特性提取端点。-The main peak ratio of noise and words frame has a gap,by using the feature extraction endpoint.
chengxu
- 由于科学技术的飞速发展，使银行卡的使用范围不断扩大，因而出现银行卡用卡安全问题 。本文主要介绍了银行卡密码泄露漏洞，对利用录音设备对手机、电话等按键式密码输入终端进录音盗取银行卡密码的不法行为进行技术分析，利用MATLAB软件编程对按键式密码输入终端的按键音进行音频分析，基于短时能量和过零率对所采集的音频文件进行端点检测，提取出单个拨号音，然后对处理后的音频进行频谱分析、对比，从而识别按键式密码输入终端的按键音。-Due to the rapid development of science a
offline-sEMG-recognition
- 提取人体手臂肌电信号，手势识别，包括肌电信号的预处理，端点检测，特征提取，特征降维，SVM分类识别-sEMG based hand movements recognition using SVM
find_endnode
- 从二值线状图像中提取线状路径的端点坐标,通过查找8邻域内仅有1个与之相连的点实现-Get the coordinates of the end point of linear path the binary image of the line
基于DTW算法的语音识别系统
- 通过语音分帧、端点检测、特征提取、DTW算法，实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)
voice_wav_frequency
- matlab语音信号分析时域频域，加窗，降噪滤波，端点检测，时域特征和频域特征提取(Matlab speech signal analysis in time domain, frequency domain, windowing, denoising, filtering, endpoint detection, time domain feature and frequency domain feature extraction.)
mfc
- matlab中简单语音处理，包括小波滤波，端点检测和mfcc参数提取，输出amf为所读取的语音文件24*1维的mfcc参数(Matlab simple voice processing, including wavelet filtering, endpoint detection and MFCC parameter extraction, output amf for the read voice file 24*1 dimensional MFCC parameters)