Events

42nd IEEE International Conference on Acoustics, Speech and Signal Processing

New Orleans, USA 12.1-6.3.2017

ICASSP is the worlds largest and most comprehensive technical conference focused on signal processing and its applications. The 2015 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Topics include but are not limited to:

  • Audio and acoustic signal processing
  • Bio-imaging and signal processing
  • Signal processing education
  • Speech processing
  • Industry technology tracks
  • Information forensics and security
  • Machine learning for signal processing
  • Multimedia signal processing
  • Sensor array & multichannel signal processing
  • Design & implementation of signal processing systems
  • Signal processing for communications & networking
  • Image, video & multidimensional signal processing
  • Signal processing theory & methods
  • Spoken language processing
  • Signal processing for Big Data
  • Signal processing for the Internet of Things.

Selected publications

2017BASKAR Murali K., KARAFIÁT Martin, BURGET Lukáš, VESELÝ Karel, GRÉZL František and ČERNOCKÝ Jan. Residual Memory Networks: Feed-forward approach to learn long-term temporal dependencies. In: Proceedings of ICASSP 2017. New Orleans: IEEE Signal Processing Society, 2017, pp. 4810-4814. ISBN 978-1-5090-4117-6.
 HANNEMANN Mirko, TRMAL Jan, ONDEL Lucas, KESIRAJU Santosh and BURGET Lukáš. Bayesian joint-sequence models for grapheme-to-phoneme conversion. In: Proceedings of ICASSP 2017. New Orleans: IEEE Signal Processing Society, 2017, pp. 2836-2840. ISBN 978-1-5090-4117-6.
 KESIRAJU Santosh, PAPPAGARI Raghavendra, ONDEL Lucas, BURGET Lukáš, DEHAK Najim, KHUDANPUR Sanjeev, ČERNOCKÝ Jan and GANGASHETTY Suryakanth V. Topic identification of spoken documents using unsupervised acoustic unit discovery. In: Proceedings of ICASSP 2017. New Orleans: IEEE Signal Processing Society, 2017, pp. 5745-5749. ISBN 978-1-5090-4117-6.
 LIU Chunxi, YANG Jinyi, SUN Ming, KESIRAJU Santosh, ROTT Alena, ONDEL Lucas, GHAHREMANI Pegah, DEHAK Najim, BURGET Lukáš and KHUDANPUR Sanjeev. An Empirical evaluation of zero resource acoustic unit discovery. In: Proceedings of ICASSP 2017. New Orleans: IEEE Signal Processing Society, 2017, pp. 5305-5309. ISBN 978-1-5090-4117-6.
 ONDEL Lucas, BURGET Lukáš, ČERNOCKÝ Jan and KESIRAJU Santosh. Bayesian phonotactic language model for acoustic unit discovery. In: Proceedings of ICASSP 2017. New Orleans: IEEE Signal Processing Society, 2017, pp. 5750-5754. ISBN 978-1-5090-4117-6.

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