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Streaming Intended Query Detection using E2E Modeling for Continued Conversation. (arXiv:2208.13322v1 [cs.CL])
Aug. 30, 2022, 1:13 a.m. | Shuo-yiin Chang, Guru Prakash, Zelin Wu, Qiao Liang, Tara N. Sainath, Bo Li, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman
cs.CL updates on arXiv.org arxiv.org
In voice-enabled applications, a predetermined hotword isusually used to
activate a device in order to attend to the query.However, speaking queries
followed by a hotword each timeintroduces a cognitive burden in continued
conversations. Toavoid repeating a hotword, we propose a streaming
end-to-end(E2E) intended query detector that identifies the utterancesdirected
towards the device and filters out other utterancesnot directed towards device.
The proposed approach incor-porates the intended query detector into the E2E
model thatalready folds different components of the speech recognitionpipeline …
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