搜索资源列表
G.711
- 语音信号的G.711编码。 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral fact
G.723
- G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral factor a
svlib
- Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification. -Currently, there are more than 20 classes in this library.
synlpc
- This function synthesizes a (speech) signal based on a LPC (linear- ％ predictive coding) model of the signal. -This function synthesizes a (speech) sign al based on a LPC (linear-% predictive coding) m odel of the signal.
PCM-Alaw_table
- 查表法实现PCM与Alaw, mulaw pcm <---> alaw pcm <---> mulaw-Look-up table method to achieve PCM with Alaw, mulaw pcm < ---> alaw pcm < ---> mulaw
speaker recognition
- 这个是用Matlab写成的说话人识别演示程序。-Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification.-Currently, there are more than 20 classe
CFR
- 峰值抵消算法的基本思想是：在OFDM信号上叠加一个由一系列加权参考函数组成的峰值抵消信号，通过抵消函数的选取以及权值计算，使得抵消信号尽可能消除超过门限的信号幅值。常见的参考函数分为脉冲函数和其他窗函数两类。- T. May, H. Rohling. Reducing the peak-to-average power ratio in OFDM radio transmission systems. IEEE Vehicular Technology Conference (VTC), Ma
MMSESTSA85
- 最经典的语音降噪算法，MMSE-STSA 保证可用，记得好评-Shor time Spectral Amplitude Minimum Mean Square Error Method for Denoising noisy speech. based on log-Spectral MMSE Ephraim et al (1985)
BinauralDNN
- This Matlab program implements the cochannel speech separation algorithm Yi Jiang, D. L. Wang, et al. (2014), "Binaural Classification for Reverberant Speech Segregation Using Deep Neural Networks," .