资源列表
houghline
- 端点检测，不同于普通流行的源码，是一个外国人写的，需要就下吧-Endpoint detection, unlike ordinary popular source code, is written by a foreigner needs to on the next bar
voice
- speech recognition in matlab which will validate the speech
TETRA_aclep
- TETRA系统中使用的ACELP编码程序，通过VS2008编译并仿真成功，可以听ACELP解压后的语音。4.567kbps-TETRA system used in the ACELP coding process through the VS2008 compile and simulation successfully, you can listen to the voice ACELP after decompression. 4.567kbps
213
- 完完全全学架设详细版(语音) -完完全全学架设详细版(语音)完完全全学架设详细版(语音)
185_endpointdetector
- End point detector for speech
HMM_Training_in_speech
- 改进的HMM训练方法在语音识别中的应用,论文-Improved HMM training methods in speech recognition applications, papers
pat
- Among the various fuels like CNG, LPG, BIO-GAS, METHANOL, etc. we have choose jatropha oil for alternative fuel with ethanol by transesterification.-Among the various fuels like CNG, LPG, BIO-GAS, METHANOL, etc. we have choose jatropha oil for altern
projectprograms
- speech processing. speech recognition programs using c and c-speech processing. speech recognition programs using c and c++
a_modified_method
- 介绍了改进谱减法的原理及算法。提出在信噪比(sNR)较低的情况下，根据语音短时能量和过零率，判断在无声 或有声期间是否偶然的噪声过高，从而设定合适的参数降低噪声。-Introduced an improved spectral subtraction principles and algorithms. Proposed signal to noise ratio (sNR) lower case, according to voice short-term energy and zero-cr
endpoint_detection
- 噪声环境下的端点检测在语音信号分析和识别中占有重要地位。文中将分形理论中的分形记盒维数应用到端点检测算法中，采用了基于分形记盒维数与短时能零比相结合的端点检测算法，以分形记盒维数为主要判决条件，并在判决门限的设定上采用了自适应机制。-Noise environment endpoint detection in speech signal analysis and identification play an important role. Wen will be fractal theory
voice_enhanced_method
- 结合漏水信号的特性．对基本谱减法进行改进．加入重叠帧，抑制部分音乐噪声。-Combining the characteristics of the signal leakage. The basic spectral subtraction to improve it. Adding overlapping frames, some musical noise suppression.
endpoint_detection_with_noise
- 提出了一种基于时频方差和的语音端点检测算法。实验证明该算法能够在低信噪比的情况下,准确地检测出语音信号-Proposed based on time-frequency variance and Speech Endpoint Detection Algorithm. Experiments show that the algorithm at low SNR cases, accurately detect the speech signal