搜索资源列表
MatWave
- 通过采用MATLAB中的MEX程序进行实时语音端点检测-The application of MEX in MATLAB on the realtime speech endpoint detection.
ActVoice
- 通过ACTIVEX控件与MATLAB进行双向通信实现实时语音端点检测-through ACTIVEX control and MATLAB for two-way real-time voice communication endpoint detection
planevoice1
- 航空噪声背景下的语音端点检测和语音增强算法，在信噪比很低的强航空噪声背景下，效果特别好-aviation noise background voice endpoint detection and voice enhancement algorithms, and very low signal to noise ratio in the strong aviation background noise, particularly effective
endpoint
- 语音端点检测Matlab程序，-Matlab voice endpoint detection procedures,
VAD-DTW-HMM
- 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
Voice_activity_detection
- 采用能量门限的语音活动端点检测程序，计算复杂度低．-using energy threshold voice activities endpoint detection procedures, low computational complexity.
Voice Discern For STM32F
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相
EndPoint
- 语音端点检测,刚打了飞机的考拉法国大的放大范德萨发(voice endpoint by c++,coiodjogj;agldfhkgk;alfjdo;ashkgdf)
record
- 语音mfcc,用来录取人声，进行端点检测，分析人声的音量(Voice MFCC, used for voice retrieval, endpoint detection, analysis of voice volume)
matlab
- 用于基本的语音分析，包含端点检测，谱减法。(Used for basic speech analysis)
用短时平均能量和短时平均过零率双门限检测VAD
- 用短时平均能量和过零率的特征参数对语音信号进行端点检测， 以消除静默帧和噪声帧的干扰
哼歌识曲
- 通过语音分帧、端点检测、pitch提取、DTW算法，实现歌曲识别(Through voice framing, endpoint detection, pit extraction, DTW algorithm, song recognition is realized)
ABSE
- 熵值越大则每个符号包含的平均信息量越大。有研究发现，在有噪声的语音信号中，语音信号的熵和噪声信号的熵存在着较大的差异，对噪声信号来说在整个频带内分布相对平坦，熵值小，语音信号集中在某些特定频段内，熵值大。因此利用这个差异可以区分噪音段和语音段。(The greater the entropy is, the greater the average information of each symbol is. It is found that, in noisy speech signals, t
short_zero_crossing_rate
- 语音信号的短时过零率求取，此过程为语音信号的一个重要特征提取过程，可用于端点检测等过程。(This process is an important feature extraction process for speech signals and can be used for endpoint detection and other processes.)
基于DTW算法的语音识别系统
- 通过语音分帧、端点检测、特征提取、DTW算法，实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)
matlab
- 这是一个具有语音的采集、读取、内插恢复、重采样，语音的时域参数的计算、端点的检测、基音周期的提取，语音的加噪、滤波及每次处理后语音的播放等功能的语音信号处理系统。(speech signal processing)
voice_wav_frequency
- matlab语音信号分析时域频域，加窗，降噪滤波，端点检测，时域特征和频域特征提取(Matlab speech signal analysis in time domain, frequency domain, windowing, denoising, filtering, endpoint detection, time domain feature and frequency domain feature extraction.)
lab
- 端点检测、基因频率检测、说话人性别识别、GUI界面(Speaker sex identification)
wavelet_VAD
- 利用小波系数分解进行语音端点检测，可直接运行得到结果(Speech endpoint detection using wavelet coefficients decomposition can directly run to get the results.)
mfc
- matlab中简单语音处理，包括小波滤波，端点检测和mfcc参数提取，输出amf为所读取的语音文件24*1维的mfcc参数(Matlab simple voice processing, including wavelet filtering, endpoint detection and MFCC parameter extraction, output amf for the read voice file 24*1 dimensional MFCC parameters)