• Richard Rose, McGill University, Canada
  

• Multiple stream model-based feature enhancement for noise robust speech recognition
  Veronique Stouten, Hugo Van hamme, Patrick Wambacq, ESAT, Belgium
  
• Cepstral mean and variance normalization in the model domain
  Ole Morten Strand, Andreas Egeberg, NUST, Norway
  
• On de-emphasizing the spurious components in the spectral modulation for robust speech recognition
  Vivek Tyagi, Christian Wellekens, Eurecom, France
  
• Towards improving the robustness of distributed speech recognition in packet loss
  Alastair James, Ben Milner, University of East Anglia, UK
  
• A comparative study of feature-domain error concealment techniques for distributed speech recognition
  

  Zheng-Hua Tan, Borge Lindberg, Paul Dalsgaard, SMS, Denmark
  

• David Pearce, Motorola Labs, UK
  

• A formant tracking LP model for speech processing in car/train noise
  Qin Yan, Esfandiar Zavarehei, Saeed Vaseghi, Brunel University, UK
  
• Robust SNR estimation of noisy speech based on Gaussian mixtures modeling on log-power domain

  Tran Huy Dat, Kazuya Takeda, Fumitada Itakura, CIAIR, Japan
  
• Subspace kernel discriminant analysis for speech recognition
  

  Hakan Erdogan, Sabanci University, Turkey
  
• Harmonic tracking-based short-time chirp analysis of speech signals
  

  Marian Kepesi, Luis Weruaga, FTW, Austria
  
• Hidden Markov models in voice activity detection
  

  Jirí Tatarinov, Petr Pollák, CTU, Czech Republic
  
• Formant prediction from MFCC vectors
  

  Jonathan Darch, Ben Milner, University of East Anglia, UK
  
• Correlation based soft-decoding for distributed speech recognition over IP networks
  

  Antonio Cardenal-López, Carmen García-Mateo, University of Vigo, Spain
  
• Statistical-based reconstruction methods for speech recognition in IP networks
  

  Angel Manuel Gómez, Antonio Miguel Peinado, Victoria Sánchez, Univ. Granada, Spain
  
• Packet loss modelling for distributed speech recognition
  

  Ben Milner, Alastair James, University of East Anglia, UK
  

Tuesday 31st August - Increasing robustness through conversational system design, non-speech modalities and consideration of speaker variability

9:00 Keynote 3 - Multimodalies,

• Phil Cohen, OGI, USA
  

10:00 Tea/coffee

10:20 Oral presentations

• Early error detection on word level
  

  Gabriel Skantze, Jens Edlund, KTH, Sweden
  
• Making an information state-based spoken dialogue system less fragile
  

  William Black, UMIST, UK
  
• Audio-visual speech recognition using new lip features extracted from side-face images
  

  Tomoaki Yoshinaga, Koji Iwano, Sadaoki Furui, Tokyo Institute, Japan
  
• Benefits of disfluency detection in spontaneous speech recognition
  

  Frederik Stouten, Jean-Pierre Martens, ELIS, Belgium
  

12:00 Lunch

1:00 Keynote 4 - Robust conversational system design

• Lou Boves, University of Nijmegen, The Netherlands
  

2:00 Tea/coffee

2:00 Poster presentations

• Task independent speech verification using SB-MVE trained phone models
  Magne H. Johnsen, Svein G. Pettersen, Tor A. Myrvoll, NTNU, Norway
  
• Robust interpretation in the Higgins spoken dialogue system
  

  Gabriel Skantze, Jens Edlund, KTH, Sweden
  
• Flexible knowledge representation for robust dialogue management
  

  Melita Hajdinjak, France Mihelic, University of Ljubljana, Slovenia
  
• Dynamic choice of robust strategies
  

  Bryan McEleney, University College Dublin, Ireland
  
• A robust input interface in the scope of the project interactive home of the future
  

  João P. Neto, INESC ID Lisboa, Portugal
  
• Multimodal speaker identification using adaptive decision fusion with reliability weighted summation
  

  Engin Erzin, Yucel Yemez, A. Murat Tekalp, Koc University, Turkey
  
• Increasing interaction robustness of speech-enabled mobile applications by enhancing speech output with non-speech sound
  

  Peter Fröhlich, FTW, Austria
  
• Combined use of close-talk and throat microphones for improved speech recognition under non-stationary background noise
  

  Stéphane Dupont, Christophe Ris, Damien Bachelart, Multitel, Belgium
  
• Adding robustness to language models for spontaneous speech recognition
  

  Jacques Duchateau, Tom Laureys, Patrick Wambacq, ESAT, Belgium
  
• Crosslingual transfer of source acoustic models to two different target languages
  

  Andrej Zgank, Zdravko Kacic, Klara Vicsi Gyorgy Szaszak, Frank Diehl, Jozef Juhar, Slavomir Lihan, University of Maribor, Slovenia
  
• Automatic recognition of spontaneously dictated medical records for Norwegian
  

  Bojana Gajic, Vidr Markhus, Svein Gunnar Pettersen, NUST, Norway