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LREC
2008
146views Education» more  LREC 2008»
13 years 10 months ago
On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
Language models used in current automatic speech recognition systems are trained on general-purpose corpora and are therefore not relevant to transcribe spoken documents dealing w...
Gwénolé Lecorvé, Guillaume Gr...
ICASSP
2009
IEEE
13 years 6 months ago
Unsupervised speaker adaptation for telephone call transcription
The use of the PC and Internet for placing telephone calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper inv...
R. Wallace, Kishan Thambiratnam, Frank Seide
LREC
2010
184views Education» more  LREC 2010»
13 years 10 months ago
New Features in Spoken Language Search Hawk (SpLaSH): Query Language and Query Sequence
In this work we present further development of the SpLaSH (Spoken Language Search Hawk) project. SpLaSH implements a data model for annotated speech corpora integrated with textua...
Sara Romano, Francesco Cutugno
TSD
2010
Springer
13 years 7 months ago
Recovery of Rare Words in Lecture Speech
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, ...
Stefan Kombrink, Mirko Hannemann, Lukas Burget, Hy...
ICASSP
2010
IEEE
13 years 8 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt