Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kellen Gillespie"'
Autor:
Vishal Thanvantri Vasudevan, Kellen Gillespie, Ioannis C. Konstantakopoulos, Abhinav Sethy, Xingzhi Guo
Publikováno v:
ICASSP
User interactions with personal assistants like Alexa, Google Home and Siri are typically initiated by a wake term or wakeword. Several personal assistants feature "follow-up" modes that allow users to make additional interactions without the need of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e3246aebd5963b21bb25638d997a9ec
http://arxiv.org/abs/2010.01949
http://arxiv.org/abs/2010.01949
Autor:
Chengyuan Ma, Thomas Drugman, Zeynab Raeesy, Jiacheng Gu, Ariya Rastrow, Roland Maas, Kellen Gillespie, Bjorn Hoffmeister
Publikováno v:
SLT
This article presents a whisper speech detector in the far-field domain. The proposed system consists of a long-short term memory (LSTM) neural network trained on log-filterbank energy (LFBE) acoustic features. This model is trained and evaluated on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4fed2b5f77d4abd0718af7d16601fc
https://doi.org/10.1109/slt.2018.8639614
https://doi.org/10.1109/slt.2018.8639614
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319579689
CGW@IJCAI
CGW@IJCAI
Artificial agents that interact with humans may find that understanding those humans’ plans and goals can improve their interactions. Ideally, humans would explicitly provide information about their plans, goals, and motivations to the agent. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcbc37e0c361b0e7ed7d15d098219f1
https://doi.org/10.1007/978-3-319-57969-6_9
https://doi.org/10.1007/978-3-319-57969-6_9
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783319112084
ICCBR
ICCBR
Autonomous object placement is a central task in many military and industrial applications. Deciding where to place an object, or placement planning, is a crucial reasoning task within object placement. Placement planning is especially challenging in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb90f24977f93e3f7395a4b18266e4b7
https://doi.org/10.1007/978-3-319-11209-1_13
https://doi.org/10.1007/978-3-319-11209-1_13
Publikováno v:
Case-Based Reasoning. Research and Development ISBN: 9783642142734
ICCBR
ICCBR
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework which encompasses three steps: (1) it observes agents performing actions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d70123eb1ffe6f5732468d090c49341
https://doi.org/10.1007/978-3-642-14274-1_11
https://doi.org/10.1007/978-3-642-14274-1_11