The frame energy and the sub-band energy were used to calculate the discrimination information based on the sub-band energy distribution probabilities both for the current frame and the noise frame.
该算法利用帧信号的能量、子带信号的能量等参数,计算该帧信号与噪声帧基于子带能量分布概率的鉴别信息。
A new algorithm based on the energy and discrimination information was developed to improve the performance of the voice activity detection system in real-time speech communications.
为提高实时通信中语音端点检测系统的性能,提出了一种基于能量和鉴别信息的端点检测算法。
The algorithm uses this discrimination information to update the noise energy in all frames including the speech frames, so it could better trace changes in the noise-energy.
算法通过利用鉴别信息,能够在包括语音帧在内的所有帧中更新噪声的能量,从而更准确地跟踪噪声能量的变化。
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