alexa Implementing aSimple Continuous Speech Recognition System on an FPGA.


Research & Reviews: Journal of Engineering and Technology

Author(s): SJ Melnikoff, SF Quigley, MJ Russell

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Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. We present an FPGA implementations of the decoder based on continuous hidden Markov models (HMMs) representing monophones, and demonstrate that it can process speech 75 times real time, using 45% of the slices of a Xilinx Virtex XCV1000.

This article was published in IEEE and referenced in Research & Reviews: Journal of Engineering and Technology

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