Mark Gales

Mark Gales is a Professor of Information Engineering in the Machine Intelligence Laboratory (formerly the Speech Vision and Robotics (SVR) group) and a Fellow of Emmanuel College. He is a member of the Speech Research Group together with faculty staff members Steve Young, Phil Woodland and Bill Byrne.

A brief biography is available online.

Positions available:

• Senior Research Associate/Research Associate in Speech Processing: contact Mark Gales
• PhD studentship in Speech Recognition and Speech Synthesis: contact Mark Gales

Research interests

• Large vocabulary continuous speech recognition
• Robust speech recognition
• Speaker adaptation
• Machine learning (particularly model selection and kernel-based methods)
• Statistical Parametric Speech Synthesis

Research Projects

• BABEL (IARPA funded project) - local web-page
• Automatic Oral Communication Skill Evaluation (Cambridge Assessment funded project)
• Broad Operational Language Translation (DARPA funded project)
• Natural Speech Technology (EPSRC funded project)
• Generative Kernels and Score-Spaces for Classification of Speech (EPSRC funded project)
• Robust Automatic Transciption of Speech (DARPA funded project)
• Adaptive Meeting Transcription - PhD Studentship (Toshiba Research Europe Ltd funded)
• HTK Version 3 - HTK_V3.4.1 and examples are available.
  

• Structured Support Vector Machines for Speech Recognition (Toshiba Research Europe Ltd funded)
• Rapid and Robust Environment Aware Processing (Toshiba Research Europe Ltd funded)
• CoreTex (Improving Core Speech Recognition technology)
• HTK Rich Audio Transcription (DARPA EARS funded project) - local web-pages
• AGILE (DARPA GALE funded project)

PhD Research Students

• Sarah Airey : Product of Experts for Automatic Speech Recognition
• Jeff Chen: Adaptive Meeting Transcription systems (Toshiba funded)
• Anton Ragni : Discriminative models for speech (HTK/Toshiba funded)
• Zoi Roupakia : Kernel Methods for Speech Processing
• Eric Wang : Universal Acoustic Models (RATS/AGILE/Google Research Award part-funded)
• Justin Yang: Non-Parametric models for speech recognition (EPSRC funded)
• Austin Zhang : Structured Discriminative Models (Toshiba Funded)

• Catherine Breslin : Complementary System Generation and Combination [pdf]
• Martin Layton : Kernel Methods for Classifying Variable Length Data [pdf]
• Hank Liao : Uncertainty Decoding for Noise Robust Speech Recognition [pdf]
• Andrew Liu : Discriminative Complexity Control and Linear Projections for LVCSR [pdf]
• Chris Longworth : Speaker Verification and Identification using Kernel Methods [pdf]
• CK Raut : Discriminative Adaptive Training and Bayesian Inference for ASR [pdf]
• Antti-Veikko Rosti : Linear Gaussian models for speech recognition [pdf]
• Rogier van Dalen : Noise Robust Speech Recognition [pdf]
• Khe Chai Sim : Structured Precision Matrix Modelling for Speech Recognition [pdf]
• Nathan Smith : Using augmented statistical models and score spaces for classification [pdf]
• Mathew Stuttle : Formant-like features for speech recognition [pdf]
• Kai Yu : Adaptive Training for LVCSR [pdf]

Teaching (2012-2013)

Prof. Gales is on sabbatical leave for the academic year 2012-2013. Teaching duties in 2011-2012:

• MPhil in Advanced Computer Science:
  • Machine Learning for Language Processing (L101)
  • Spoken Language Processing (L106)
• Fourth year engineering undergraduates Module 4F10: Statistical Pattern Processing.
  Material available online (local access only)
• Third year engineering undergraduates Module 3F3: Signal and Pattern Processing.
  Material available online (local access only)
• Fourth year engineering undergraduate projects to be offered 2011-2012 (local access only).

• Part IB Paper 6: Information Engineering

Contact Information