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Workshop program

Morning sessions

  • 9:00 Opening [Slides: pdf]

  • Reinhold Haeb-Umbach (University of Paderborn), Tomohiro Nakatani (NTT Corporation)

  • 9:10 Challenge summary [Slides: pdf]

  • Keisuke Kinoshita (NTT Corporation)

  • 9:40 Keynote presentation

  • Chair: Armin Sehr (Beuth Hochschule für Technik Berlin)

    • Robustness is dead! Long live Robustness!
      Dr. Mike Seltzer from Microsoft Research (USA)
      Abstract:
  • 11:00 Oral session 1

  • Chair: Steve Renals (University of Edinburgh)

    • o1.1: The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement [Slides: pdf]
      Felix J Weninger (Technische Universität München, Germany); Shinji Watanabe (Mitsubishi Electric Research Laboratories, USA); Jonathan Le Roux (Mitsubishi Electric Research Laboratories, USA); John Hershey (MERL, USA); Yuuki Tachioka (Mitsubishi Electric Corporation, Japan); Jürgen T. Geiger (Technische Universität München, Germany); Björn W Schuller (Imperial College London, Germany); Gerhard Rigoll (Technische Universität München, Germany)
      Abstract:
    • o1.2: Joint Dereverberation and Noise Reduction Using Beamforming and a Single-Channel Speech Enhancement Scheme [Slides: pdf]
      Benjamin Cauchi (Fraunhofer IDMT-HSA, Germany); Ina Kodrasi (University of Oldenburg, Germany); Robert Rehr (University of Oldenburg, Germany); Stephan Gerlach (Fraunhofer IDMT-HSA, Germany); Ante Jukić (University of Oldenburg, Germany); Timo Gerkmann (University of Oldenburg, Germany); Simon Doclo (University of Oldenburg, Germany); Stefan Goetze (Fraunhofer IDMT-HSA, Germany)
      Abstract:
    • o1.3: A Multichannel Feature Compensation Approach for Robust ASR in Noisy and Reverberant Environments [Slides: pdf]
      Ramon Fernandez Astudillo (INESC-ID-Lisboa, Portugal); Sebastian Braun (International Audio Laboratories Erlangen, Germany); Emanuël Habets (International Audio Laboratories Erlangen, Germany)
      Abstract:

Afternoon sessions

  • 13:30 Poster session 1

  • Chair: Markus Buck (Nuance Communications)

    • p1.1: The DREAMS Initial Training Network: Dereverberation and Reverberation of Audio, Music, and Speech [Poster: pdf]
      Toon van Waterschoot (KU Leuven, Department of Electrical Engineering (ESAT-STADIUS),Belgium)
      Abstract:
    • p1.2: A Speech Dereverberation Method Using Adaptive Sparse Dictionary Learning [Poster: pdf]
      Mohammadreza Moshirynia (Islamic Azad University, Science & Research Branch, Iran); Farbod Razzazi (Islamic Azad University, Science and Research Branch, Iran); Afrooz Haghbin (Tarbiat Modarres University, Iran)
      Abstract:
    • p1.3: Dual system combination approach for various reverberant environments with dereverberation techniques [Poster: pdf]
      Yuuki Tachioka (Mitsubishi Electric Corporation, Japan); Tomohiro Narita (Mitsubishi Electric, Japan); Felix J Weninger (Technische Universität München, Germany); Shinji Watanabe (Mitsubishi Electric Research Laboratories, USA)
      Abstract:
    • p1.4: Single-channel reverberant speech recognition using C50 estimation [Poster: pdf]
      Pablo Peso Parada (Nuance Communications, United Kingdom); Dushyant Sharma (Nuance Communications, United Kingdom); Patrick A Naylor (Imperial College London, United Kingdom); Toon van Waterschoot (KU Leuven, Belgium)
      Abstract:
    • p1.5: Adaptive dereverberation method based on complementary Wiener filter and modulation transfer function [Poster: pdf]
      Kento Ohtani (Nagoya University, Japan); Tatsuya Komatsu (Nagoya University, Japan); Takanori Nishino (Mie University, Japan); Kazuya Takeda (Nagoya University, Japan)
      Abstract:
    • p1.6: The TUM system for the REVERB Challenge: Recognition of Reverberated Speech using Multi-Channel Correlation Shaping Dereverberation and BLSTM Recurrent Neural Networks
      Jürgen T. Geiger (Technische Universität München, Germany); Erik Marchi (Technische Universität München, Germany); Björn W Schuller (Imperial College London, Germany); Gerhard Rigoll (Technische Universität München, Germany)
      Abstract:
    • p1.7: Speech Quality Enhancement based on Spectral Subtraction [Poster: pdf]
      Jéssica Veras (Federal University of Rio de Janeiro, Brazil); Thiago Prego (CEFET-RJ, Brazil); Amaro Lima (CEFET-RJ, Brazil); Tadeu Ferreira (Fluminense Federal University, Brazil); Sergio Netto (UFRJ, Brazil)
      Abstract:
    • p1.8: Reverberant speech recognition combining deep neural networks and deep autoencoders [Poster: pdf]
      M. Mimura (Kyoto University, Japan); Shinsuke Sakai (Kyoto University, Japan); Tatsuya Kawahara (Kyoto University, Japan)
      Abstract:
    • p1.9: The CMU-MIT REVERB Challenge 2014 System: Description and Results [Poster: pdf]
      Xue Feng (Massachusetts Institute of Technology, USA); Kenichi Kumatani (Spansion Inc., USA); John McDonough (Carnegie Mellon University, USA)
      Abstract:
    • p1.10: Reverberation Robust Speech Recognition by Matching Distributions of Spectrally and Temporally Decorrelated Features [Poster: pdf]
      Kalle Palomäki (Aalto University, Finland); Heikki Kallasjoki (Aalto University, Finland)
      Abstract:
    • p1.11: Enhancement of reverberant and noisy speech by extending its coherence [Poster: pdf]
      Scott Wisdom (University of Washington, USA); Thomas Powers (University of Washington, USA); Les Atlas (University of Washington, USA); James Pitton (University of Washington, USA)
      Abstract:
  • 14:50 Oral session 2

  • Chair: Patrick Naylor (Imperial College London)

    • o2.1: Recognition of Reverberant Speech by Missing Data Imputation and NMF Feature Enhancement [Slides: pdf]
      Heikki Kallasjoki (Aalto University, Finland); Jort Gemmeke (KU Leuven, Belgium); Kalle Palomäki (Aalto University, Finland); Amy Beeston (University of Sheffield, United Kingdom); Guy Brown (University of Sheffield, United Kingdom)
      Abstract:
    • o2.2: The NTU-ADSC Systems for Reverberation Challenge 2014 [Slides: pdf]
      Xiong Xiao (Nanyang Technological University, Singapore); Zhao Shengkui (Advanced Digital Sciences Center, Singapore); Duc Hoang Ha Nguyen (Nanyang Technological University, Singapore); Zhong Xionghu (Nanyang Technological University, Singapore); Douglas Jones (University of Illinois at Urbana-Champaign, USA); Eng-Siong Chng (Nanyang Technological University, Singapore); Haizhou Li (Institute for Infocomm Research, Singapore)
      Abstract:
    • o2.3: Linear prediction-based dereverberation with advanced speech enhancement and recognition technologies for the REVERB challenge [Slides: pdf]
      Marc Delcroix (NTT Corporation, Japan); Takuya Yoshioka (NTT Corporation, Japan); Atsunori Ogawa (NTT Corporation, Japan); Yotaro Kubo (NTT Corporation, Japan); Masakiyo Fujimoto (NTT Corporation, Japan); Ito Nobutaka (NTT Corporation, Japan); Keisuke Kinoshita (NTT Corporation, Japan); Miquel Espi (NTT Corporation, Japan); Takaaki Hori (NTT Corporation, Japan); Tomohiro Nakatani (NTT Corporation, Japan); Atsushi Nakamura (NTT Corporation, Japan)
      Abstract:
  • 16:10 Poster session 2

  • Chair: Dorothea Kolossa (Ruhr-Universität Bochum)

    • p2.1: Acoustic Scene Aware Dereverberation using 2-channel spectral enhancement for REVERB Challenge [Poster: pdf]
      Xiaofei Wang (Institute of Acoustics, Chinese Academy of Sciences, P.R. China); Yanmeng Guo (Key Laboratory of Speech Acoustics and Content Understanding, P.R. China); Xi Yang (Institute of Acoustics, Chinese Academy of Sciences, P.R. China); Qiang Fu (Institute of Acoustics, Chinese Academy of Sciences, P.R. China); Yonghong Yan (Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, P.R. China)
      Abstract:
    • p2.2: Single channel speech enhancement based on zero phase transformation in reverberated environments
      Dayana Ribas Gonzalez (Advanced Technologies Application Center, Cuba); Serguey Crespo Arias (Advanced Technologies Application Center (CENATAV), Cuba); Jose Ramon Calvo de Lara (Advanced Technologies Application Center, Cuba)
      Abstract:
    • p2.3: Reverberation suppression based on sparse linear prediction in noisy environments
      Nicolás López (Institut Mines-Télécom, Télécom ParisTech, CNRS-LTCI, France); Gaël Richard (Institut Mines-Télécom, Télécom ParisTech, CNRS-LTCI, France); Yves Grenier (Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France); Ivan Bourmeyster (Arkamys, France)
      Abstract:
    • p2.4: A computationally restrained and single-channel blind dereverberation method utilizing iterative spectral modifications
      Kazunobu Kondo (Yamaha Corporation, Japan)
      Abstract:
    • p2.5: Robust features and system fusion for reverberation-robust speech recognition [Poster: pdf]
      Vikramjit Mitra (SRI International, USA); Wen Wang (SRI International, USA); Yun Lei (SRI International, USA); Andreas Kathol (Research Linguist, USA); Ganesh Sivaraman (University of Maryland, College Park, MD, USA); Carol Espy-Wilson (University of Maryland, USA)
      Abstract:
    • p2.6: Speech Dereverberation by Constrained and Regularized Multi-Channel Spectral Decomposition: Evaluated on REVERB Challenge
      Meng Yu (Audience Inc., USA); Frank Soong (Microsoft Research Asia, USA)
      Abstract:
    • p2.7: Sparse Recovery Method for Dereverberation [Poster: pdf]
      Nicolas Epain (University of Sydney, Australia); Tahereh Noohi (University of Sydney, Australia); Craig Jin (University of Sydney, Australia)
      Abstract:
    • p2.8: Robust ASR in Reverberant Environments using Temporal Cepstrum Smoothing for Speech Enhancement and an Amplitude Modulation Filterbank for Feature Extraction [Poster: pdf]
      Feifei Xiong (Fraunhofer IDMT, Germany); Niko Moritz (Fraunhofer IDMT-HSA, Germany); Robert Rehr (University of Oldenburg, Germany); Joern Anemueller (University of Oldenburg, Germany); Bernd Meyer (University of Oldenburg, Germany); Timo Gerkmann (University of Oldenburg, Germany); Simon Doclo (University of Oldenburg, Germany); Stefan Goetze (Fraunhofer IDMT-HSA, Germany)
      Abstract:
    • p2.9: Extraction of Robust Features by Combining Noise Reduction and FDLP for the Recognition of Noisy Speech Signals in Hands-free Mode [Poster: pdf]
      Hans-Günter Hirsch (Niederrhein University of Applied Sciences, Germany)
      Abstract:
    • p2.10: Use Of Multiple Front-Ends And I-Vector-Based Speaker Adaptation For Robust Speech Recognition [Poster: pdf]
      Md. Jahangir Alam (INRS Énergie, Matériaux et Télécommunications, Canada); Vishwa Gupta (CRIM, Canada); Patrick Kenny (CRIM, Canada); Pierre Dumouchel (Ecole de technologie superieure, Canada)
      Abstract:
    • p2.11: PBF-GSC Beamforming for ASR and Speech Enhancement in reverberant environments [Poster: pdf]
      Yi Ren Leng (Institute for Infocomm Research, Singapore); Jonathan Dennis (Institute for Infocomm Research, Singapore); Wen Zheng Terence Ng (Institute for Infocomm Research, Singapore); Tran Huy Dat (Institute for Infocomm Research, Singapore)
      Abstract:
  • 17:30 Panel session [Slides: pdf, Summary: pdf]

  • Moderators: Reinhold Haeb-Umbach (University of Paderborn), Sharon Gannot (Bar-Ilan University), Tomohiro Nakatani (NTT Corporation)

  • 18:00 Closing session



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