搜索资源列表
uvsegment
- 用信息熵进行语音信号声韵分割，尤其适合低信噪比的语音。-with information entropy voice signal eloquence and segmentation, especially for low SNR voice.
shouliantexing
- MMSE的LMS收敛特性仿真，训练点10000，SNR（-5到20），效果较好-MMSE LMS convergence characteristics of simulation, training 10,000 points, SNR (-5 to 20), better effect
Matspeech
- 自己编的语音信号的一些处理过程 包括谱减法去噪，hnr，snr等，很有用
segSNR+IS
- 提供了segmantal SNR及IS的计算代码，用于语音增强后评价用。
fenxing
- 为提高语音端点检测(VAD)在较低信噪比(10 dB)下的准确率,提出一种基于短时分形维数的改进算法。结合语音信号的特点,对2种常用的语音信号分形维数计算方法进行了比较和选择,同时采用动态跟随门限值实现语音端点的自适应检测。试验结果表明:对于信噪比6~10 dB的带噪语音,此方法可以实现整段语音的检测,而且具有一定的噪声鲁棒性,系统运行期间能够自适应调整门限值以适应环境噪声的变化,提高了VAD算法的准确率。这个是源码matlab。-In order to improve voice activi
SNR
- 测量两个信号的信噪比。同时可以用来比较两个文件的差异大小。-It can measure the SNR between two signals. Also it can be used to test the difference between two files.
CEinCommun
- 各种信噪比估计算法，包括ls，lms，qam，噪声统计等-A variety of SNR estimation algorithms, including ls, lms, qam, noise statistics, etc.
MmseCohen
- 利用I.Cohen提出的短时先验信噪比（priori SNR）估算的语音增强法，附有相应程序和文献。-I. Cohen raised by the use of short-term a priori signal to noise ratio (priori SNR) estimation of the speech enhancement method, with the corresponding procedures and documentation.
coleawin_Matlab_Speech_Analysis
- 波形和频谱双显示 记录讲话直接进入MATLAB 手动分割讲话波形-创建标签文件 波形编辑-切割，复制或粘贴 共振峰分析-显示共振轨道的F1 ， F2和F3 基音分析 过滤工具-语音信号滤波器截止频率 比较工具-比较两个波形的频谱距离使用几种措施 增加噪声-Dual time-waveform and spectrogram displays Records speech directly into MATLAB NEW Displays time-a
wavelet
- SPEECH ENHANCEMENT BASED ON WAVELET DENOISING Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
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
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_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
noise_reduction_technique
- duction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision- directed approach, the a priori SNR depends on the speech spec- trum estimation in the previous frame. As a conse
lee_vad
- 一个基于MMSE噪声后验概率估计的话音激活检测算法.-A voice activity detector with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
snr
- 计算语音、音频信号的信噪比程序（包含音频样本文件）-Calculation of voice, audio program signal to noise ratio (including the audio sample file)
snr
- 未加端点检测的说话认识别，带测试语音，可直接运行-Endpoint detection of speech does not increase understanding of other, with the test voice, can be directly run
ITU-T-G729
- Both ITU G.723.1 and G.729 provide VAD algorithm/c code. They perform well in modest SNR environment
G729
- Both ITU G.723.1 and G.729 provide VAD algorithm/c code. They perform well in modest SNR environment
longTermSNR.tar
- A CASA-Based System for Long-Term SNR Estimation