Speech Understanding on Tiny Devices with A Learning Cache
Author:
Affiliation:
1. Department of Computer Science, University of Virginia, Charlottesville, VA, United States of America
2. Department of Computer Science, University of Virginia, Charlottesville, VA, USA
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643832.3661886
Reference77 articles.
1. nvidia/teams/nemo/models/slu_conformer_transformer_large_slurp.
2. https://github.com/Azure-Samples/cognitive-services-speech-sdk.
3. https://github.com/Picovoice/rhino.
4. https://huggingface.co/speechbrain/slu-direct-fluent-speech-commands-librispeech-asr.
5. https://www.demandsage.com/voice-search-statistics/.
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