搜索资源列表
SPlatForm
- 我自己用vc写的语音特征提取程序，执行程序后，在上面的搜索前输入你的音频文件的路径，按搜索就回把把结果存放到e:/tt.dat里面，你还要在e盘建立一个tt.txt文件-I write with vc voice feature extraction procedures, implementation procedures, in the above search before you import the audio files path, according to search put b
producemfcc
- 对音频文件提取其MFCC特征参数 可用于说话人识别-right audio files from their MFCC parameters can be used to Speaker Recognition
PlayDemoSource
- 海康播放器软件中提取原始音频数据,进行分析
Pitch_extraction_procedures
- 基音提取程序，对于给定一段语音，按一定时间分帧,并从中提取出基音频率-Pitch extraction process, for a given period of voice, according to a certain time-frame, and extracting the pitch frequency
MFCC
- 在对音频特征的提取时，梅尔到频率系数是一个很好的指标-Mel frequency coefficient is a good indicator in the extraction of audio features,
jAudio-1.0.4
- jAudio：音频特征提取 作者：Cory McKay -jAudio: Towards a standardized extensible audio music feature extraction system Cory McKay
115157693pitch
- [pitch.rar] - matlab程序，功能是在语音中提取基音频率的程序。输入为.wav格式的语音文件，输出各帧基音频率。-[pitch.rar]- matlab procedures, functions in the voice pitch frequency extraction procedure. Input. Wav format audio files, the output of the frame pitch.
jiyuneirongdeyinpinjiansuoyan
- 本文根据上述的研究，采用基于Mel倒谱系数特征的隐马尔可夫模型对音 乐进行分类。在音乐特征提取方面，以感知特征和Mel倒谱系数组成特征向量 在音乐分类方面，以隐马尔可夫模型作为分类器，对音乐进行聚类和分类。通过 有监督的学习方式进行聚类，分类时将测试样本归入似然值最大的类别，对同一 音频抽取若干样本，对样本识别结果采用投票法，判定该音频的音乐类别，使分 类的准确率得到进一步的提高。根据上述方法进行了仿真实验，并对实验结果进 行了分析。本文将音频数据分为5类，对4种分类器
fenzhenchuli
- 语音特征提取，如过零率，能量比，短时能量。须导入MAV音频。-Voice feature extraction, such as zero-crossing rate, energy ratio, short-term energy. MAV audio to be imported.
Sinusoidal_add_Residual
- 音频的提取和合成，主要LPC峰值提取，频域谐波提取，并处理后再合成。 用于音频的处理和合成-Audio extraction and synthesis, the main peak of LPC extraction, frequency-domain harmonic extraction and processing, then synthesis. For audio processing and synthesis of
jAudio
- jaudio 音频特征提取软件说明文档 提取音频相关的底层特征-jaudio audio feature extraction software, documentation related to the underlying audio feature extraction
mfcc
- 提取音频的mfcc特征值 是一个matlab函数 直接调用即可-Extract audio mfcc characteristic value is a matlab function can be called directly
dsp-music
- 通过matlab仿真说明从音频中提取背景音乐的方法，并通过dsp实现-Matlab simulation shows that by extracting from the audio background music of the method, and achieved through the dsp
AudioFeatureMFCC
- 能提取音频信号处理中最常用的MFCC特征-Can extract the audio signal processing characteristics of the most commonly used MFCC
LPC_extractor
- 自己读取HTK源代码，从里面抠出来的一套LPC系数、LPCEPSTRA（LPC倒谱系数）代码。工程使用vc6.0。代码中附带了一个音频文件、一个和HCOPY相关的config文件，本人和HTK工具提取的代码一一对照过，提取结果毫无偏差。-HTK source code yourself to read, from the inside to pull out of a LPC coefficients, LPCEPSTRA (LPC cepstrum) code. Code comes with
MIRtoolbox1.3.4
- 一个音乐信息检索领域的工具包，支持例如节奏，音色，旋律，情感等多层音频特征的提取以及可视化-MIRtoolbox has been developed within the context of a Europeen Project called “Tuning the Brain for Music”, funded by the NEST (New and Emerging Science and Technology) program of the European Commi
audio
- 音频信号特征提取实验与编程指导，有相关代码说明-Audio Signal Feature Extraction
wav_handle
- c语言写的wav音频文件简单处理函数源码，包括wav_io处理，提取lpc系数、plar系数，可用于语音识别和合成中。可直接调用。-wav audio files simple c language handler source, including wav_io processing, extraction lpc coefficient plar coefficient, can be used for speech recognition and synthesis. Can be cal
提取语音信号基频
- 用自相关函数提取语音信号基频，提取音频文件的基频等高线(Use the autocorrelation function on segments of the signal (windowsize: 100ms) and compute the fundamental frequency. Use a max_time_lag of 100ms in the autocorrelation function and a window shift of 25ms. Create a fundame
audio-feature-extraction
- 音频的特征提取，是用python写的，里面有readme可以查看(audio features extraction)