主动缓冲管理算法的沉默抑制语音应用

Sung-Hyung Lee, Hyun-Jin Lee, Jae-Hyun Kim, Mijeong Hoh, Sang-heon Shin, Taewan Kim, B. Roh
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引用次数: 0

摘要

本文提出了一种主动缓冲区管理的静默下降优先算法(SDF)。该算法在队列中查找并丢弃沉默报文,而不是会话报文,以解决队列缓冲区溢出问题。该算法在保证相同链路容量下的语音服务质量的前提下,可以同时服务更多的用户。本文用G.711和G.729a语音编解码器进行了仿真。仿真结果表明,相对于商用和军用路由器中常用的语音应用主动缓冲管理算法drop-tail和drop-head, SDF算法可以服务更多的用户。采用所提出的SDF算法,G.729a和G.711的语音容量分别提高了84.21%和38.5%。同时,SDF算法对服务目标用户数放宽了沉默报文到达间隔时间限制。
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Active buffer management algorithm for silence suppressed voice applications
This paper proposes silence drop first algorithm(SDF) for the active buffer management. This algorithm finds and drops silence packet rather than talkspurt packet in the queue for resolving buffer overflow of queue. This algorithm can serve more simultaneous user while maintain voice service quality with same link capacity. Simulations with voice codec of G.711 and G.729a are performed in this paper. The simulation results shows that SDF can serve more users than drop-tail and drop-head, whose are general active buffer management algorithms for voice application used in commercial and military router. By using proposed SDF algorithm, the voice capacity is increased by 84.21% with G.729a and 38.5% with G.711. Also, SDF algorithm loosens the silence packet inter-arrival time limit to service target number of users.
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