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Parallelized Viterbi Processor for 5,000-Word Large-Vocabulary Real-Time Continuous Speech Recognition FPGA System

机译:平行化维特比处理器5,000字大词汇实时连续语音识别FPGA系统

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摘要

We propose a novel Viterbi processor for the large vocabulary real-time continuous speech recognition. This processor is built with multi Viterbi cores. Since each core can independently compute, these cores reduce the cycle times very efficiently. To verify the effect of utilizing multi cores,we implement a dual-core Viterbi processor in an FPGA and achieve 49% cycle-time reduction, compared to a single-core processor. Our proposed dual-core Viterbi processor achieves the 5,000-word real-time continuous speech recognition at 65.175 MHz. In addition, it is easy to implement scalable increases in the number of cores, which leads to achievement of the larger vocabulary.
机译:我们为大型词汇实时连续语音识别提出了一种新的维特比处理器。此处理器采用多维特比内构建。由于每个核心可以独立计算,因此这些核心非常有效地减少循环时间。为了验证利用多核的效果,我们在FPGA中实现了双核Viterbi处理器,与单核处理器相比,实现了49%的周期时间减少。我们所提出的双核维特比处理器在65.175 MHz处实现了5,000字的实时连续语音识别。此外,易于实施核心数量的可扩展增加,这导致较大的词汇量实现。

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