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DIARCA: A Component Approach to Voice Recognition

机译:DiaRCA:语音识别的组成方法

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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实现为PC桌面设施。该模型不适合当前和未来发展的越来越多的复杂性:它是单用户,它是非便携式的,它假设工作站模型,其中所有CPU资源都应该在本地可用。这项工作研究了如何通过普通数据传输介质共享的高性能语音识别系统如何重新设计和实现,其具有三种主要设计目标的普通数据传输介质:可伸缩性,可预测性和POSIX可移植性。通过重建象牙,众所周知的强大的桌面语音识别方法来测试整个想法,作为分布式组件。

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