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Conference Paper A Fully-Hardwired Implementation of Large Vocabulary Continuous Speech Recognizer
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Authors
Yunjoo Kim, Juyeob Kim, Joohyun Lee, Wonjong Kim
Issue Date
2015-06
Citation
International Symposium on Consumer Electronics (ISCE) 2015, pp.1-2
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ISCE.2015.7177803
Abstract
This article presents the hardware implementation of the speech recognition for real time performance and high-level accuracy. The stand-alone speech recognizer should simultaneously achieve the requirements, which are the low-latency performance and the low-power dissipation in an environment that cannot connect to the network. So, we made a speech recognizer as the hardware accelerator based on the hidden markov model for reducing the load of the system processor without the cloud computing. Our overall design has the fully hardwired operation flow from the generation of the speech feature to the generation of the recognized words. Our design showed low-latency performance as the real time factor of 0.4 ~ 0.5 on FPGA, which operates at 100MHz operating frequency and uses the resource of 10%.
KSP Keywords
Cloud Computing, Continuous Speech, Hardware Implementation, Hardware accelerator, Large vocabulary, Latency performance, Low latency, Low power dissipation, Operating frequency, Operation flow, Overall design