Two new speech detection methods based on neural networks using Barker coded synchronization signal are presented.
提出了两种采用巴克码编码同步信号并基于神经网络的起点检测新方法。
Adaptive algorithm of speech detection based on statistical classification is presented to reduce the dependence of the training data.
该文针对统计分类语音算法对训练数据的依赖问题，提出自适应算法在线动态更新分类模型。
VAD algorithm based on RASTA-filter multi-dimensional speech feature and Support Vector Machine is presented. It applies to the speech detection under the low SNR conditions.
提出了一种基于RASTA滤波技术的多维语音特征和支持向量机分类的VAD算法，适用于低信噪比情况下的话音检测。
This paper researches on speech detection algorithm based on time domain, and describes an adaptive, both forwards and backwards search, detecting short-term pulse noise algorithm.
本文探讨了基于时域的语音切分算法，在前人研究的基础上，提出一种改进算法——自适应、前后搜索和检测短时脉冲噪音算法。
This paper researches on speech detection algorithm based on time domain, and describes an adaptive, both forwards and backwards search, detecting short-term pulse noise algorithm.
本文探讨了基于时域的语音切分算法，在前人研究的基础上，提出一种改进算法——自适应、前后搜索和检测短时脉冲噪音算法。
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