tailieunhanh - Báo cáo khoa học: "Speech Communication in the Wild"

Much of what we know about speech perception comes from laboratory studies with clean, canonical speech, ideal listeners and artificial tasks. But how do interlocutors manage to communicate effectively in the seemingly less-than-ideal conditions of everyday listening, which frequently involve trying to make sense of speech while listening in a non-native language, or in the presence of competing sound sources, or while multitasking? In this talk I’ll examine the effect of real-world conditions on speech perception and quantify the contributions made by factors such as binaural hearing, visual information and prior knowledge to speech communication in noise. . | Speech Communication in the Wild Martin Cooke Language and Speech Laboratory University of the Basque Country Ikerbasque Basque Science Foundation Abstract Much of what we know about speech perception comes from laboratory studies with clean canonical speech ideal listeners and artificial tasks. But how do interlocutors manage to communicate effectively in the seemingly less-than-ideal conditions of everyday listening which frequently involve trying to make sense of speech while listening in a non-native language or in the presence of competing sound sources or while multitasking In this talk I ll examine the effect of real-world conditions on speech perception and quantify the contributions made by factors such as binaural hearing visual information and prior knowledge to speech communication in noise. I ll present a computational model which trades stimulus-related cues with information from learnt speech models and examine how well it handles both energetic and informational masking in a two-sentence separation task. Speech communication also involves listening-while-talking. In the final part of the talk I ll describe some ways in which speakers might be making communication easier for their interlocutors and demonstrate the application of these principles to improving the intelligibility of natural and synthetic speech in adverse conditions. 1 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics page 1 Avignon France April 23 - 27 2012. @2012 Association for Computational .

• Báo cáo khoa học
• Speech Communication in the Wild
• Martin Cooke
• Long Papers
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln