搜索资源列表
Detection-of-Speech-Signals
- matlab的语音信号端点检测不同方法及应用-matlab endpoint detection of speech signal in different ways
voice
- 语音识别中几个常用例程： 语音信号高频提升、短时能量检测、过零率计算、LPCC系数计算、基于短时能量和过零率的语音信号端点检测。-voice recogniton
11
- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250～ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
enframe0613pm
- 语音信号端点检测的程序，比较全面，能量过零率基音估计等等 全在-Endpoint detection of speech signal process, more comprehensive, zero crossing rate of energy and so on all in the pitch estimation
main
- 单字节的语音信号端点检测及GUI界面程序-Voice Activity Detection and GUI program in Matlab
Endpoint-detection-of-speech-signals
- 语音信号端点检测的多种算法，其中包括了时域的短时能量算法，短时过零率算法，以及小波去噪的若干程序！-Endpoint detection of speech signals
epdByVol
- 在matlab环境下编译的语音信号端点检测程序，基于短时能量和过零率的三阀值方法-Voice signal endpoint detection program, compiled under the Matlab environment based on short-term energy and zero crossing rate threshold method
duandianjiance
- 基于支持向量机的语音信号端点检测，主要是去掉首位的噪声。-Voice signal endpoint detection based on support vector machines, mainly to get rid of the first noise.
daima
- 基于matlab的几种语音信号端点检测方法-Several based on matlab voice signal endpoint detection method
bic_audio_segment
- 基于bic优化准则的，语音信号端点检测。-Bic-based optimization criterion, the voice signal endpoint detection.
zixiangguanhanshu
- 基于自相关函数的语音信号端点检测方法，可以用于语音信号的处理-Endpoint detection method based on a speech signal autocorrelation function, can be used for processing a speech signal
pindaifangcha
- 基于频带方差法的语音信号端点检测的matlab程序，可以用于语音信号的处理-Variance method based band voice signal endpoint detection matlab program that can be used to handle voice signals
daopujuli
- 基于倒谱距离的语音信号端点检测方法的matlab程序，可以用于语音信号端点检测-Cepstral distance voice signal endpoint detection method based on the matlab program that can be used for voice signal endpoint detection
pushangfa
- 基于谱熵法的语音信号端点检测方法的matlab程序，可以用于语音信号的处理-Endpoint detection method based on speech signal spectrum entropy method matlab program that can be used to handle voice signals
stezcr
- 使用matlab实现的基于短时能量和过零率的语音信号端点检测-The endpoint detection of speech signal based on short-time energy and zero crossing ratio using matlab
calculmthondetectionand
- 语音信号端点检测仿真,内容涉及短时能量及过零率的计算-Speech signal endpoint detection simulation, the content involves the short-time energy and zero crossing rate calculation
heapenqueue
- 语音信号端点检测仿真,内容涉及短时能量及过零率的计算(Speech signal endpoint detection simulation, the content involves the short-time energy and zero crossing rate calculation)
vad
- 自适应端点检测。那么什么是自适应端点检测呢？也就是采集声音信号的时候，开始说话到说话结束，我们把这一段声音信号采集下来进行处理。(Adaptive endpoint detection. So what is adaptive endpoint detection? That is, when the sound signal acquisition, began to speak to the end of the speech, we collected this sound signal
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.)