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41
A Self-Organizing Neural Network Architecture for Auditory and Speech Perception with Applications to Acoustic and other Temporal Prediction Problems.
In: DTIC AND NTIS (1995)
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42
A Robust Loose Coupling for Speech Recognition and Natural Understanding.
In: DTIC AND NTIS (1995)
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43
Spoken Dialogue Understanding and Local Context.
In: DTIC AND NTIS (1994)
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44
Segment-Based Acoustic Models for Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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45
Robust Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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46
Segment-Based Acoustic Models for Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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47
TRAINS: Dialogue Transcription Tools.
In: DTIC AND NTIS (1994)
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48
High-Performance Speech Recognition Using Consistency Modeling.
In: DTIC AND NTIS (1994)
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49
The TRAINS Project: A Case Study in Building a Conversational Planning Agent.
In: DTIC AND NTIS (1994)
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50
A Study on Prosody and Discourse Structure in Cooperative Dialogues.
In: DTIC AND NTIS (1993)
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51
Dialog Structure and Plan Recognition in Spontaneous Spoken Dialog
In: DTIC AND NTIS (1993)
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52
Detection and Correction of Repairs in Human-Computer Dialog
In: DTIC (1992)
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53
BBN BYBLOS and HARC February 1992 ATIS Benchmark Results
In: DTIC (1992)
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54
A Survey of Temporal Techniques Applied Toward Neural Network Based Continuous Speech Recognition
In: DTIC AND NTIS (1992)
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55
Segment-Based Acoustic Models for Continuous Speech Recognition
In: DTIC AND NTIS (1992)
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56
The Use of Distinctive Features for Automatic Speech Recognition
In: DTIC AND NTIS (1991)
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57
Interactive Problem Solving and Dialogue in the ATIS Domain
In: DTIC (1991)
Abstract: This paper describes the present status of the discourse and dialogue models within the MIT ATIS system, extended to support the notion of booking a flight. The discourse model includes not only the resolution of explicit anaphoric references, but also indirect and direct references to information mentioned earlier in the conversation, such as a direct reference to an entry in a previously displayed table or an indirect reference to a date, as in "the following Thursday." The system keeps a history table containing objects such as flights and dates, represented as semantic frames, as well as the active ticket, previously booked tickets, and previously displayed tables. During flight reservations scenarios, the system monitors the state of the ticket (which is displayed to the user), making sure that all information is complete (by querying the user) before allowing a booking. It may even initiate calls to the database to provide additional unsolicited information as appropriate. We have collected several dialogues of subjects using the system to make reservations, and from these, we are learning how to design better dialogue models. ; Sponsored in part by DARPA. Presented at the Human Language Technology Conference, Workshop on Speech and Natural Language held in Pacific Grove, CA on 19-22 Feb 1991. Published in the Proceedings of the Workshop on Speech and Natural Language, p354-359, 1991.
Keyword: *ARTIFICIAL INTELLIGENCE; *ATIS SYSTEM; *DISCOURSE AND DIALOGUE MODELS; *INFORMATION SYSTEMS; *INTERACTIONS; *MAN COMPUTER INTERFACE; *SPEECH RECOGNITION; *SPOKEN LANGUAGE SYSTEMS; BOOKING; Cybernetics; DIALOGUES; FLIGHT RESERVATIONS; NATURAL LANGUAGE; SYMPOSIA; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460614
http://www.dtic.mil/docs/citations/ADA460614
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58
Byblos Speech Recognition Benchmark Results
In: DTIC (1991)
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59
Massively Parallel Network Architectures for Automatic Recognition of Visual Speech Signals
In: DTIC AND NTIS (1990)
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60
Prosody, Syntax and Parsing
In: DTIC (1990)
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