摘要
语音在采集和传输过程中,由于语音源的差异、信道的衰减、噪声干扰以及远近效应,导致信号的幅度相差较大,利用自动增益控制(AGC)可以优化信号电平,提高通信质量。而传统的AGC缺少对话音和非话音信号的判别,会导致对非话音信号的放大,造成干扰。深入分析了Speex中基于语音活动性检测(VAD)的AGC算法,通过仿真说明该算法可以实现自动电平控制。
During the collection and transmission of speech signals,the amplitudes of signal have lager difference due to the difference of speech sources,the decay of channels,noises and near-far effect.Through Automatic Gain Control,signal levels could be optimized to improve the quality of communication.However,the lack of discrimination between speech and non-speech sounds of the conventional AGC would lead to a large amplification of non-speech sounds.In this paper,the AGC algorithm based on voice activity detection in speex is analyzed in depth.The experimental simulation indicates that this algorithm could realize automatic level control.
出处
《通信技术》
2010年第4期164-166,共3页
Communications Technology