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DIARCA: A Component Approach to Voice Recognition

机译:DIARCA:语音识别的一种组件方法

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摘要

Current voice recognition systems tend to be implemented as a PC desktop facility. This model is not suitable for the growing complexities of present and future developments: It is single-user, it is non portable, and it assumes the workstation model, where all the CPU resources are supposed to be locally available. This work researches how a high performance speech recognition system can be redesigned and implemented as a time-critical network service shared through ordinary data transmission media with three main design goals: Scalability, predictability and POSIX portability. The whole idea has been tested by rebuilding IVORY, a well known robust desktop voice recognition methodology, as a distributed component.
机译:当前的语音识别系统倾向于被实现为PC桌面设备。该模型不适用于当前和未来发展中日趋复杂的模型:它是单用户的,它是非便携式的,并且假定为工作站模型,在该模型中所有CPU资源都应该在本地可用。这项工作研究如何将高性能语音识别系统重新设计和实现为通过普通数据传输媒体共享的时间紧迫的网络服务,并具有三个主要设计目标:可伸缩性,可预测性和POSIX可移植性。整个构想已经通过将IVORY(一种众所周知的健壮的桌面语音识别方法)重建为分布式组件进行了测试。

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