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The EU project LISTEN (http://www.listen-project.eu/) is concerned with various | The EU project LISTEN (http://www.listen-project.eu/) is concerned with various | ||
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Version vom 10. Mai 2018, 18:51 Uhr
Inhaltsverzeichnis
LISTEN Workshop 2018 in Bonn, Germany
The EU project LISTEN (http://www.listen-project.eu/) is concerned with various aspects of far-field large-vocabulary speech recognition. As part of this project, we will organize a three-day workshop in Bonn/Germany, 17-19 July 2018 (Tuesday-Thursday).
The workshop intends to bring together experts from academic and industrial research in this fast developing area of speech recognition. The workshop will include regular talks and keynote talks (more details see end of this email). In total, we expect an audience of about 50 researchers.
Venue and time
Venue: Ameron Hotel Koenigshof Bonn, Germany (directly located on the river Rhine; 20 km distance from airport Cologne/Bonn; 1 km from train station Bonn; 30 km from train station Cologne)
(Tentative) Program
- Tuesday, July 17: 09:00-18:00 technical session,
- Wednesday, July 18: 09:00-13:00 technical session,
14:00-18:00 social event,
- Thursday, July 19: 09:00-17:00 technical session.
Keynotes
Confirmed keynote talks with (tentative) titles (45 minutes + questions/discussions):
Industry:
- Alex Acero, Apple US: Our work on HomePod.
- Jasha Droppo, Microsoft US: The Microsoft 2017 Conversational Speech Recognition System.
- Erik McDermott, Google US: Next generation acoustic models for automatic speech recognition.
- Bjoern Hoffmeister, Amazon US: tba
Academia:
- Chin-Hui Lee, Georgia Tech, US: Two-Stage Enhancement of Noisy and Reverberant Microphone Array Speech for Automatic Speech Recognition Systems Already Trained in Clean Conditions.
- Jon Barker, U Sheffield, UK: The CHiME-5 challenge for far-field conversational speech recognition in domestic environments.
- Satoshi Nakamura, NAIST, Japan: TOWARDS LISTENING WHILE SPEAKING: SPEECH CHAIN BY DEEP LEARNING.
- Reinhold Häb-Umbach, U Paderborn, Germany: Neural Network Supported Acoustic Beamforming and Source Separation for ASR.
Travel
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Booking a hotel room
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