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Continuous Speech Recognition for Pocket PC based on a Small Vocabulary in Mandarin

机译:基于中文普通话的Pocket PC连续语音识别

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摘要

This paper described a continuous speech recognition engine for Pocket PC (PPC) based on our previous large vocabulary continuous speech recognition technologies. Due to the limited memory resources and computing powers on PPC, we have to choose compact acoustic and language model with high share quality. Our experiments show that in small vocabulary recognition task, local computation could achieve a good performance with an applicable scheme.
机译:本文介绍了一种基于我们以前的大词汇量连续语音识别技术的Pocket PC(PPC)连续语音识别引擎。由于PPC上的内存资源和计算能力有限,我们必须选择具有较高共享质量的紧凑型声学和语言模型。我们的实验表明,在较小的词汇识别任务中,采用适用的方案,本地计算可以获得良好的性能。

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