Researcher
Patrick Wambacq
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Jan 2008 → 31 Jul 2020 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 1999 → 31 Dec 2007
Projects
1 - 8 of 8
- SABeD: The development of a Spoken Academic Belgian Dutch CorpusFrom1 Jan 2021 → 31 Dec 2022Funding: IOF - technology validation in lab
- Addressing Limitations of Language ModelsFrom6 Oct 2014 → 21 Jun 2019Funding: BOF - Doctoral projects
- Scate - Smart Computer-Aided Translation Environment.From1 Mar 2014 → 28 Feb 2018Funding: SBO (Strategic basic research)
- SPRAAK2TAAL: extraction of tension and idelological context from political speeches - research on the integration of speech and language processing.From1 Oct 2010 → 30 Sep 2012Funding: Department Science, Innovation and Media
- Efficient Language Modeling for Automatic Speech RecognitionFrom7 Sep 2010 → 5 May 2017Funding: BOF - Doctoral projects
- Valorisation coordinator for the Leuven ICT research centreFrom1 Jan 2009 → TodayFunding: IOF - Industrial Research Fund, IOF - mandates
- NEON: Dutch subtitling.From1 Apr 2008 → 30 Nov 2009Funding: Foreign public sponsor
- Common Language Resources and Technology Infrastructure (CLARIN).From1 Jan 2008 → 31 Dec 2012Funding: Research infrastructures
Publications
11 - 20 of 36
- TF-LM: TensorFlow-based Language Modeling Toolkit(2018)
Authors: Lyan Verwimp, Hugo Van hamme, Patrick Wambacq
Pages: 2968 - 2973 - Efficient Language Modeling for Automatic Speech Recognition(2017)
Authors: Joris Pelemans, Patrick Wambacq, Hugo Van hamme
- Multidisciplinary Learning through Implementation of the DVB-S2 Standard(2017)
Authors: Yuri Murillo Mange, Bertold Van den Bergh, Jona Beysens, Alexander Bertrand, Wim Dehaene, Panos Patrinos, Tinne Tuytelaars, Ruth Vazquez Sabariego, Marian Verhelst, Patrick Wambacq, et al.
Pages: 124 - 130 - Character-word LSTM language models(2017)
Authors: Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Pages: 417 - 427 - TTNWW to the Rescue: No Need to Know How to Handle Tools and Resources(2017)
Authors: Ineke Schuurman, Kris Demuynck, Hans Paulussen, Joris Pelemans, Vincent Vandeghinste, Patrick Wambacq
Pages: 83 - 93 - STON: Efficient subtitling in Dutch using state-of-the-art tools(2016)
Authors: Lyan Verwimp, Kris Demuynck, Joris Pelemans, Patrick Wambacq
Pages: 780 - 781 - Analyzing the contribution of top-down lexical and bottom-up acoustic cues in the detection of sentence prominence(2016)
Authors: Joris Pelemans, Lyan Verwimp, Patrick Wambacq
Pages: 1074 - 1078 - SCALE: A scalable language engineering toolkit(2016)
Authors: Joris Pelemans, Lyan Verwimp, Kris Demuynck, Hugo Van hamme, Patrick Wambacq
Pages: 3868 - 3871 - Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models(2016)
Authors: Joris Pelemans, Tom Vanallemeersch, Kris Demuynck, Lyan Verwimp, Hugo Van hamme, Patrick Wambacq
Pages: 5985 - 5989 - Expanding n-gram training data for language models based on morpho-syntactic transformations(2015)
Authors: Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
Pages: 49 - 64