Technical Program

Sunday Dec 7 Monday Dec 8 Tuesday Dec 9 Wednesday Dec 10
07:30 Breakfast
7:30-8:10		 Breakfast
7:30-8:30		 Breakfast
7:30-8:30
08:00
Opening Remarks
Emerald A-B
8:10-8:30
08:30 Keynote 1 [KM1]
Jure Leskovec
Emerald A-B
8:30-9:30		 Keynote 2 [KT1]
Stephen Clark
Emerald A-B
8:30-9:30		 Keynote 3 [KW1]
Tara Sainath
Emerald A-B
8:30-9:30
09:00
09:30 Break
9:30-10:00		 Break
9:30-10:00		 Break
9:30-10:00
10:00 PM1 ASR/Synth
Emerald 4-6
10:00-11:30		 PM2 Topics SLP
Emerald 1-3
10:00-11:30		 PT1 Educ/Health
Emerald 4-6
10:00-11:30		 PT2 Dialog Mngt
Emerald 1-3
10:00-11:30		 PW1 Robust Systems
Emerald 4-6
10:00-11:30		 PW2 Dialog Systems
Emerald 1-3
10:00-11:30
10:30
11:00 Registration
11:00-12:30
11:30 Lunch
11:30-13:00		 Lunch
11:30-13:00		 Closing Ceremony
Emerald A-B
11:30-12:30
12:00
12:30 Tutorial 1
Xiaodong He and Scott Wen-tau Yih
Emerald A-B
12:30-15:00
13:00 Invited Talk 1
Fei Sha
Emerald A-B
13:00-14:00		 Invited Talk 2
Lukas Burget
Emerald A-B
13:00-14:00
13:30
14:00 Panel Discussion 1
Emerald A-B
14:00-15:30		 Panel Discussion 2
Emerald A-B
14:00-15:30
14:30
15:00 Break
15:00-15:30
15:30 Tutorial 2
Karen Livescu, Raman Arora and Kevin Gimpel
Emerald A-B
15:30-18:00		 Break
15:30-16:00		 Break
15:30-16:00
16:00 PM3 DNN ASR
Emerald 4-6
16:00-17:30		 PM4 SLU
Emerald 1-3
16:00-17:30		 PT3 Spkr/Lang Recog
Emerald 4-6
16:00-17:30		 PT4 Applications
Emerald 1-3
16:00-17:30
16:30
17:00
17:30 Demo Session 1
Emerald 1-3
17:30-18:30		 Demo Session 2
Emerald 4-6
17:30-18:30
18:00
18:30
19:00
19:30
20:00 SIG Meetings 2
20:00-23:00
20:30
21:00
21:30 SIG Meetings 1
(warm-up)
21:30-23:00
22:00
22:30

The main theme of the workshop will be "machine learning in spoken language technologies".

The technical program will include oral, poster and demo sessions covering traditional topics (speech recognition and synthesis, spoken language understanding, spoken dialog systems, spoken document summarization, machine translation for speech, question answering from speech, speech data mining, spoken document retrieval, spoken language databases, speaker/language recognition, multimodal processing, human/computer interaction, assistive technologies, natural language processing, and educational and healthcare applications), as well as topics in emerging areas (large scale spoken language understanding, massive data resources for SLT, unsupervised methods in SLT, capturing and representing world knowledge in SLT, web search with SLT, SLT in social networks, multimedia applications, and intelligent environments).

SLT 2014 will also feature keynote/guest speakers from the machine learning community, online panel discussions, miniSIGs (small discussion groups), tutorials on select topics, and highlight sessions for presenting the workshop 3-5 best papers. Information on these will soon be available on our website and on our twitter account, @SLT_2014.