搜索资源列表
vad_fq_snr
- vad(语音活动检测)的matlab代码,采用频域的方法计算信噪比。-vad (voice activity detection) Matlab code, using frequency-domain approach to calculate the signal-to-noise ratio.
Vad
- VAD检测源代码,可作为声控的启停判断,已经过验证,在使用时修改具体的能量阈值-VAD detection of the source code can be used as voice-activated start and stop judging, has been verified when using modified specific energy threshold
Voice.detection.source.code
- 集成了enframe语音的帧分段,wavread wav语音文件的读取,vad端点识别,DTW等m文件。-Integrated enframe voice frame section, wavread wav sound files to read, vad endpoint identification, DTW and other m files.
VAD-method
- 基于matlab利用顺序滤波器方法进行语音端点检测的算法实现代码-Sequential filter method based on matlab voice endpoint detection algorithm code
vad
- 利用语音方差的特点实现语音检测的matlab代码和c源代码。-Characteristics of variance using voice voice detection matlab code and c source code.
VAD
- G729 VAD MATLAB CODE
vad
- 基于matlab的语音端点检测源码,采用短时能量短时过零率的端点检测,检测效果良好,亲测可用-Based on endpoint detection matlab source code, using short-term energy endpoint detection Short-term zero rate detection works well, pro-test available
VAD(Matlab-code)
- VAD matlab implementation
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