Wang Wen-lin, Liao Jian-xin, Zhu Xiao-min, Shen Qi-wei. A Novel Fast Real-Time Audio Mixing Algorithm in Multimedia Conference[J]. Journal of Electronics & Information Technology, 2007, 29(3): 690-695. doi: 10.3724/SP.J.1146.2005.01027
Citation:
Wang Wen-lin, Liao Jian-xin, Zhu Xiao-min, Shen Qi-wei. A Novel Fast Real-Time Audio Mixing Algorithm in Multimedia Conference[J]. Journal of Electronics & Information Technology, 2007, 29(3): 690-695. doi: 10.3724/SP.J.1146.2005.01027
Wang Wen-lin, Liao Jian-xin, Zhu Xiao-min, Shen Qi-wei. A Novel Fast Real-Time Audio Mixing Algorithm in Multimedia Conference[J]. Journal of Electronics & Information Technology, 2007, 29(3): 690-695. doi: 10.3724/SP.J.1146.2005.01027
Citation:
Wang Wen-lin, Liao Jian-xin, Zhu Xiao-min, Shen Qi-wei. A Novel Fast Real-Time Audio Mixing Algorithm in Multimedia Conference[J]. Journal of Electronics & Information Technology, 2007, 29(3): 690-695. doi: 10.3724/SP.J.1146.2005.01027
In multimedia conference, audio mixing is an essential component, which affects the communication between users. At present, the commonly used audio mixing algorithms have a protean volume. By analyzing those algorithms, the conclusion of mutative mixing weights bring on protean volume is drawn. Base on this, a novel algorithm named Asymmetrical Wave-Shrinking (AWS) is proposed. A fixed mixing weight independent of inputs is used to ensure the natural and fluent outputs without protean volume. Without multiplication and division operations, the algorithm is so simple and fast that it can be easily implemented by hardware and widely applied in large scale multimedia conference systems.