资源列表
voiceprocessionmatlab
- 这是我在做实验时用到的语音处理分辨清辅音的代码，在matlab 7。0上运行通过。-This is what I was doing the voice processing used in experiments to distinguish voiceless consonant of the code, matlab 7. 0 to run through.
HMM
- HMM 自学教程.适用于初学者进行阅读和学习。简易资料。-HMM introduction for self learn
m_usart
- PIC单片机模拟串口收发.可设置波特率。8位9位可选-PIC microcontroller analog serial transceiver. You can set the baud rate. 8 9 optional
111
- Hilbert_Huang变换和仿真系统设计,硕士学位论文，研究了多种时频算法，改进了HHT算法，并进行了比较。-Hilbert_Huang transformation and simulation system design, a master degree thesis, research a variety of time-frequency algorithm, improved HHT algorithm and compared.
mpelpc
- 此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进行编码传输。-This program is based on all-pole speech production model, the encoding process summarized as follows: First, by linear prediction analysis to extract channel filt
duanshinengliang
- 声音信号的短时能量matlab实现程序源码-Audio signal to achieve short-term energy program source code matlab
yuyin
- 语音信号短时能量matlab实现,语音信号的端点检测matlab实现。-Speech signal to achieve short-term energy matlab, speech endpoint detection signal matlab implementation.
sphinx3
- CMU sphinx，是美国卡内基梅隆开发的开源语音识别系统，该程序用C编写，模块结构非常清晰，函数接口明了，非常适合用来进行二次开发。-CMU sphinx, is a Carnegie Mellon developed in open-source speech recognition system, the program is prepared to use C, the module structure is very clear, the function interface, cl
LMs
- 采用LMS算法的频域均衡技术研究,lms在频域均衡方面的应用。-LMS algorithm using frequency domain equalization technology research, lms balance in the frequency domain applications.
speechenhancement
- 该文章是语音去噪方面的，比较新，希望对大家有帮助-The article is a voice de-noising aspects, relatively new, we want to help
MFCC
- 为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件 设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参 数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction a
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions