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Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates
Sharon Goldwater
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Dan Jurafsky
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Christopher D. Manning
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
ACL |
Citations
URL
Quality Estimation for Automatic Speech Recognition
Matteo Negri
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Marco Turchi
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José G. C. de Souza
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Daniele Falavigna
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Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models
Marcello Federico
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Matteo Negri
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Luisa Bentivogli
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Marco Turchi
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Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation
Yulia Tsvetkov
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Florian Metze
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Chris Dyer
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Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces
Matthias Sperber
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Graham Neubig
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Satoshi Nakamura
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Alex Waibel
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Lexical and Syntactic Adaptation and Their Impact in Deployed Spoken Dialog Systems
Svetlana Stoyanchev
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Amanda Stent
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Lexicon-Free Conversational Speech Recognition with Neural Networks
Andrew Maas
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Ziang Xie
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Dan Jurafsky
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Andrew Ng
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Driving ROVER with Segment-based ASR Quality Estimation
Shahab Jalalvand
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Matteo Negri
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Daniele Falavigna
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Marco Turchi
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Revisiting Word Neighborhoods for Speech Recognition
Preethi Jyothi
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Karen Livescu
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Gender and Dialect Bias in YouTube’s Automatic Captions
Rachael Tatman
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Varying image description tasks: spoken versus written descriptions
Emiel van Miltenburg
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Ruud Koolen
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Emiel Krahmer
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Neural User Simulation for Corpus-based Policy Optimisation of Spoken Dialogue Systems
Florian Kreyssig
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Iñigo Casanueva
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Paweł Budzianowski
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Milica Gašić
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http://www.mpi.nl/world/persons/private/baayen/pub-
http://www.praat.org/
Field Of Study
Linguistic Trends
Discourse
Task
ASR
Language
English
French
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