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pro vyhledávání: '"Shaun N. Joseph"'
Autor:
Xiaosu Tong, Sri Harish Mallidi, Che-Wei Huang, Chander Chandak, Ariya Rastrow, Sonal Pareek, Roland Maas, Shaun N. Joseph
Publikováno v:
SLT
In this paper, we propose a streaming model to distinguish voice queries intended for a smart-home device from background speech. The proposed model consists of multiple CNN layers with residual connections, followed by a stacked LSTM architecture. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::715d4896aab69f666461f5b60105f442
http://arxiv.org/abs/2007.09245
http://arxiv.org/abs/2007.09245
Autor:
Shaun N. Joseph
The broadcast scheduling problem asks how an arbitrary network of broadcast transceivers operating on a shared medium may share the medium in such a way that communication over the entire network is possible. In the case where transmissions are expli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a62df4d2aead1e71728788439ffc528
https://doi.org/10.23860/diss-joseph-shaun-2011
https://doi.org/10.23860/diss-joseph-shaun-2011
Autor:
Chengyuan Ma, Bjorn Hoffmeister, Roland Maas, Guitang Lan, Gautam Tiwari, Shaun N. Joseph, Kyle Goehner, Ariya Rastrow
Publikováno v:
ICASSP
We present an end-of-utterance detector for real-time automatic speech recognition in far-field scenarios. The proposed system consists of three components: a long short-term memory (LSTM) neural network trained on acoustic features, an LSTM trained
Publikováno v:
INTERSPEECH
Autor:
Shaun N. Joseph, Lisa Cingiser DiPippo
Publikováno v:
Algorithms for Sensor Systems ISBN: 9783642360916
ALGOSENSORS
ALGOSENSORS
The broadcast scheduling problem asks how a multihop network of broadcast transceivers operating on a shared medium may share the medium in such a way that communication over the entire network is possible. This can be naturally modeled as a graph co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d88eb64cd5321a46cee5b0d8816866
https://doi.org/10.1007/978-3-642-36092-3_11
https://doi.org/10.1007/978-3-642-36092-3_11