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» Data pruning for template-based automatic speech recognition
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NAACL
2001
14 years 11 months ago
Generating Training Data for Medical Dictations
In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent a...
Sergey V. Pakhomov, Michael Schonwetter, Joan Bach...
LREC
2008
111views Education» more  LREC 2008»
14 years 11 months ago
The ATCOSIM Corpus of Non-Prompted Clean Air Traffic Control Speech
Air traffic control (ATC) is based on voice communication between pilots and controllers and uses a highly task and domain specific language. Due to this very reason, spoken langu...
Konrad Hofbauer, Stefan Petrik, Horst Hering
SPEECH
2011
14 years 4 months ago
Intelligibility predictors and neural representation of speech
Intelligibility predictors tell us a great deal about human speech perception, in particular which acoustic factors strongly effect human behavior, and which do not. A particular...
Bryce E. Lobdell, Jont B. Allen, Mark Hasegawa-Joh...
77
Voted
CHI
2004
ACM
15 years 10 months ago
Semantic speech editing
Editing speech data is currently time-consuming and errorprone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying spe...
Steve Whittaker, Brian Amento
CSL
2007
Springer
14 years 9 months ago
Soft indexing of speech content for search in spoken documents
The paper presents the Position Specific Posterior Lattice (PSPL), a novel lossy representation of automatic speech recognition lattices that naturally lends itself to efficient ...
Ciprian Chelba, Jorge Silva, Alex Acero