GMM-apply-for-text-to-speech

语音信号的时域频域分析，从短时能量到语谱图，以及线性预测参数和梅尔倒谱系数等等(Speech signal in time domain frequency domain analysis, from the short-term energy to the spectrogram, and the linear prediction parameters and the Mel cepstral coefficients, etc.)

matlab编写的PCM脉冲编码调制simulink仿真模型，包含对不同频率语音信号的仿真。(Matlab prepared PCM pulse code modulation simulink simulation model, including the simulation of different frequencies of speech signals.)

关于蚁群聚类算法的matlab实现，对于初学者是很有帮助的呀～～ (On the ant colony clustering algorithm matlab realize, for beginners it is helpful ~ ~)

基于matlab的HMM语音识别仿真，通过matlab实现对0-9数字的语音识别(HMM speech recognition simulation based on MATLAB)

量子粒子群算法应用。对三个水听器的位置定位，在假设水听器位置已知情况下，以及其他方法估计得到的时延，通过量子粒子群算法计算，验证量子粒子群算法的计算精度。(Quantum particle swarm optimization application. Position location of the three hydrophones in the hydrophone position assumed known case, and other methods for estimating time delay obtained by calculating the quantum PSO QPSO verify the accuracy of the algorithm.)

基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。(Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, and speech cepstrum obtained by converting the cepstrum short segment out inverse orthogonal transform to obtain channel will of the spectrum, i.e. to obtain the envelope of the speech spectrum. The spectral envelope and spectral painted on a chart, there is a good contrast. Get the envelope effect is very good.)

基于麦克风阵列的声源定位一维music算法源代码(Based on the microphone array beamformer one-dimensional music algorithm source code)

Maltlab program for Compressive sensing using L1 minimization

运用HMM进行语音识别之后的孤立词识别，里面函数俱全。可以直接运用，简单方便(Speech recognition with HMM isolated word recognition, which function and taste. Can directly use, simple and convenient)

计算语音的短时平均能量。可以作为清音和浊音的特征参数，可以作为有声无声的依据(Calculate the short-term average energy of speech. It can be used as a characteristic parameter of voiceless and unvoiced sounds, and as a basis for sound and silence.)