资源列表
OTF
- Groou Editor used to share commaon multemedia content over internet
edfa-gain-with-length
- erbium dopped fiber amplifier with length
crane
- 用无模型自适应控制算法，可以实现桥式起重机的位置跟踪-Location tracking model-free adaptive control algorithm can bridge crane
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.)
beamforming1
- 语音信号处理，阵列为10阵元线阵，宽带和窄带波束形成(Speech signal processing, 10 sensors of microphone linear array,Broadband and narrowband beamforming)
mfcc
- MFCC，Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征，MFCC已经广泛地应用在语音识别领域。(MFCC, Mel frequency cepstrum coefficient abbreviation. The frequency of Mel is based on the auditory characteristics of human ear. It is
yuchuli1
- 基于python平台的语音信号的预处理和MFCC39维度的特征提取(MFCC based on python)
NLMS
- 语音降噪经典算法NLMS最小均方算法MATLAB程序(Speech noise reduction classical algorithm NLMS minimum mean square algorithm MATLAB program)
mfcc
- matlab实现MFCC的提取 输入语音离散信号和采样频率 输出13维静态MFCC(extraction of MFCC Input speech discrete signal and sampling frequency Output 13 dimensional static MFCC)