资源列表
4
- 关于语音识别中语料库的建立与整理，以及分析统计-Speech Recognition Corpus on the establishment and finishing, as well as the analysis of statistical
clcl
- 关于语音识别中语料库的建立与整理，以及分析统计-Speech Recognition Corpus on the establishment and finishing, as well as the analysis of statistical
my_lpc
- 线性预测（LPC）是语音信号处理中最有效的分析方法之一，通过LPC谱，LPCC谱的分析，并结合LPC检测方法判断出语音的基音周期或共振峰。我们可以利用Matlab来进行编程实现，具有实现简单，效果良好的特点-The linear predictive (LPC) is one of the most important methods in speech processing. Through the LPC spectrum, the LPCC spectrum analysis, and u
emfull
- Expectation Maximization for training GMM s, full covariances. Requires vqtrain.m to have a good initialization.
compute_probability
- Computes the likelihood of a vector using a GMM.
mfcc
- omputes Mel Frequency Cepstrum Coefficients (MFCC)
speech
- 语音自动识别技术，采用C++编程，可以给做语音识别的提供参考-Automatic speech recognition technology, using C++ programming, you can do to provide a reference for Speech Recognition
voice_recognition
- 男女声识别，c文件，调用java的jar文件。内含录制的sample多个-voice recognition
pca
- 运用PCA进行盲分离的matlab源代码程序-matlab program based on PCA for blind source separation
bksa
- 基于峭度的盲分离开关算法的matlab源代码程序-Blind Source Separation Based on Kurtosis switch algorithm
snr
- 基于最大信噪比的盲源分离算法，适合初学者使用-Based on the maximum signal to noise ratio Blind source separation algorithm