A 6 mW, 5,000-Word Real-Time Speech Recognizer Using WFST Models

A 6 mW, 5,000-Word Real-Time Speech Recognizer Using WFST Models

We describe an IC that provides a local speech recognition capability for a variety of electronic devices. We start with a generic speech decoder architecture that is programmable with industry-standard WFST and GMM speech models. Algorithm and architectural enhancements are incorporated in order to...

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Bibliographic Details
Main Authors: Chandrakasan, Anantha P., Price, Michael R., Glass, James R.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
Online Access:http://hdl.handle.net/1721.1/102176
https://orcid.org/0000-0002-3097-360X
https://orcid.org/0000-0002-5977-2748
https://orcid.org/0000-0001-9950-8266

Internet

http://hdl.handle.net/1721.1/102176
https://orcid.org/0000-0002-3097-360X
https://orcid.org/0000-0002-5977-2748
https://orcid.org/0000-0001-9950-8266

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