资源列表
voice_spectrum
- 用于检测音频wav文件的语谱以及FFT,使用了audioread函数(The language spectrum and FFT for detecting audio WAV files)
Sound
- Matlab下直接调用NI采集卡，实时绘制波形并重现声音的例程(A routine that invokes a NI acquisition card directly under Matlab, rendering the waveform in real time and reproducing the sound)
66054278lms
- 适合LMS初级入门的同学，代码有部分注解。(Classmate suitable for LMS beginner.)
语音分帧
- 编写的几个子函数对语音信号进行分帧处理。(Several sub functions are written to frame the speech signal.)
sound_to_spectrogram2
- 从大文件下读取子文件夹里的声音，并转成语谱图，并保存在本地电脑上面(sound transfer spectrogram)
dtw
- python版的dtw算法极其改进fastdtw算法实现(The DTW algorithm in the python edition improves the implementation of the fastdtw algorithm extremely)
ABSE
- 熵值越大则每个符号包含的平均信息量越大。有研究发现，在有噪声的语音信号中，语音信号的熵和噪声信号的熵存在着较大的差异，对噪声信号来说在整个频带内分布相对平坦，熵值小，语音信号集中在某些特定频段内，熵值大。因此利用这个差异可以区分噪音段和语音段。(The greater the entropy is, the greater the average information of each symbol is. It is found that, in noisy speech signals, t
75266092lms_noise_cancellation
- 自适应滤波，语音信号处理，变换域lms算法，matlab(Adaptive filter, the speech signal processing, the transform domain LMS algorithm and matlab)
jizhengzhuoye
- 均匀线列阵和均匀平面阵的自然指向性图的画法(just a little program)
duru
- 读入wav语音，实现多语音叠加 对语音进行分帧 左声道右声道分别作图(Reading wav voice to achieve multi speech superposition Speech segmentation Left vocal tract right vocal tract mapping)
LPCC
- 线性预测倒谱系数（Linear Prediction Cepstrum Coefficient,LPCC）是线性预测系数（Linear Prediction Coefficient,LPC）在倒谱域中的表示。该特征是基于语音信号为自回归信号的值设，利用线性预测分析获得倒谱系数。(Linear Prediction Cepstrum Coefficient)
vad
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)