Zobrazeno 1 - 4
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pro vyhledávání: '"Wang, Nick J."'
The Conformer model is an excellent architecture for speech recognition modeling that effectively utilizes the hybrid losses of connectionist temporal classification (CTC) and attention to train model parameters. To improve the decoding efficiency of
Externí odkaz:
http://arxiv.org/abs/2204.03889
SLU combines ASR and NLU capabilities to accomplish speech-to-intent understanding. In this paper, we compare different ways to combine ASR and NLU, in particular using a single Conformer model with different ways to use its components, to better und
Externí odkaz:
http://arxiv.org/abs/2204.03879
In spoken language understanding (SLU), what the user says is converted to his/her intent. Recent work on end-to-end SLU has shown that accuracy can be improved via pre-training approaches. We revisit ideas presented by Lugosch et al. using speech pr
Externí odkaz:
http://arxiv.org/abs/2204.03315
Autor:
Neve, Richard M., Chin, Koei, Fridlyand, Jane, Yeh, Jennifer, Baehner, Frederick L., Fevr, Tea, Clark, Laura, Bayani, Nora, Coppe, Jean-Philippe, Tong, Frances, Speed, Terry, Spellman, Paul T., DeVries, Sandy, Lapuk, Anna, Wang, Nick J., Kuo, Wen-Lin, Stilwell, Jackie L., Pinkel, Daniel, Albertson, Donna G., Waldman, Frederic M., McCormick, Frank, Dickson, Robert B., Johnson, Michael D., Lippman, Marc, Ethier, Stephen, Gazdar, Adi, Gray, Joe W.
Publikováno v:
In Cancer Cell 2006 10(6):515-527
