Internet audio 、 video business is becoming an important network applications, but the server of the traditional unicast mode can easily become the system bottleneck. 音频、视频业务正成为Internet中的重要网络应用,但传统的单播模式中服务器很容易成为系统瓶颈。
With the advancement of speech processing, speech recognition and information clustering / retrieval technology, it is now possible to search internet audio data automatically. 语音处理、语音识别和关联检索等技术的发展,为互联网音频检索业务的智能化提供了可能。
This leads to a limited number of internet audio and video servers are often in the state of overloading to work, some media servers after another visit to the large number of users or even are paralyzed. 这就导致因特网上数量有限的音频视频服务器经常要工作在超负荷状态,有些媒体服务器在大量用户接连不断访问时甚至会瘫痪。
Real-time Internet Audio(IA) Using Optimal Forward Error Correction and TCP-friendly Congestion Control 基于优化前向纠错和TCP友好阻塞控制的实时音频传输策略研究
The Design of Intelligent Internet Audio(IA) Monitoring System 互联网音频智能检索系统设计