搜索资源列表
speakerrecognition
- 声纹识别，能够对说话人的声音进行识别，过程包括语音输入、预处理、特征提取、建立模型和匹配。-speaker Recognition
sound_recognition_system
- 基于小波包分析的声音特征提取--毕业设计程序：希望交流-Based on wavelet packet voice feature extraction- graduate design program: the hope of sharing
test_for_read_wavfile
- 本代码包括vc下对于wave文件的读取，以及声纹识别中mfcc的计算，包括完整的声音预处理和特征计算过程。-Vc under this code, including the wave of documents to read, as well as Voice Recognition MFCC calculation, including the voice of integrity and characteristics of pre-processing calculations.
MFCC
- 计算ＭＦＣＣ的程序，修改了原代码中对于滤波器的除数，以达到用于异常声音特征提取的作用-Calculation of MFCC program, modify the source code for the filter s divisor in order to achieve abnormal noise feature extraction
hhh
- ：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the t
CLEAN_MFCC_STD
- 声音特征提取程序，分帧后，对于每一帧提取MFCC等特征-voice feature extraction
hmmselforiginal
- 特征分析对于声音信号的处理非常有用，希望这个能对大家有用-Feature Analysis for the audio signal processing is very useful, hope this will be useful to everyone
lunwen
- 本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。-This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and thro
audio-shibie
- 声音 语音 声波 识别系统 PPT 特征提取 分类算法设计-Voice recognition system
telephonevoice
- 采用离散变换对电话数字声音识别，绘制频谱，获取数字声音特征-Discrete transform digital telephone voice recognition, draw the spectrum, to obtain a digital audio feature
AntiSpoofing_Features
- 基于matlab的声音特征提取，可用于语音识别和声纹识别-Matlab-based audio feature extraction, can be used for speech recognition voiceprint recognition
MFCC_success
- 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
声音解析matlab
- 对非平稳信号进行分段、截取，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the frequency charact
STFFTtool
- 对非平稳信号进行分段、截取，将非平稳信号转化为平稳信号，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the fre
STFFTtool1
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum charac
STFFTtool2
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spe
keypoint
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，以图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysi
发电机声音检测与故障诊断研究
- 发电机故障检测与诊断方面的论文。包括发电机声音信号采集、处理，特征值提取和基于BP神经网络的分类。(paper.About:fault detection ,feature extraction.Based on the generator sound detection and fault diagnosis research)
1902299
- 使用matlab提取出声音的6种时域特征，并赋有使用说明与特征介绍(6 time domain features of sound extraction)
声音频率频谱分析
- 1、了解声音信号的基本特征 2、掌握如何用Matlab处理声音信号 3、掌握FFT变换及其应用(1, understand the basic characteristics of sound signals. 2, master how to use Matlab to process sound signals. 3. Master FFT transform and its application.)