2014 journal article

A Generic and Scalable Architecture for a Large Acoustic Model and Large Vocabulary Speech Recognition Accelerator Using Logic on Memory


By: O. Bapat n, P. Franzon n & R. Fastow

author keywords: Accelerator; beam search; embedded; hardware software co-design; logic on memory; multipass decoding; N-best; speech recognition; sphinx
TL;DR: A scalable hardware accelerator for speech recognition, which uses a two pass decoding algorithm with word dependent N-best Viterbi Beam Search, which achieves an overall speed up of 4.3X over a 2.4-GHz Intel Core 2 Duo processor running the CMU Sphinx speech recognition software. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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