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...
Main Authors: | Chandrakasan, Anantha P., Price, Michael R., Glass, James R. |
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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 |
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