Difference: MJFG (r4 vs. r3)

Mark Gales

Research Interests - Research Projects - Publications - Students - Teaching

Office Location: BE3-05

Telephone: +44 (0)1223 332733

E-mail: mjfg [at] eng.cam.ac.uk

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

For more information see his personal webpage: http://mi.eng.cam.ac.uk/~mjfg/.

Research Interests

A brief introduction to speech recognition is available online. For a technical review see The Application of Hidden Markov Models in Speech Recognition. A draft review of model-based noise compensation schemes is also available.

Research Projects

Current projects:

Recently completed projects:

Publications

A full list of publications can be viewed here.

Students

Current list of PhD Research Students and their general research topics:

  • Jeff Chen: Adaptive Meeting Transcription systems (Toshiba funded)
  • Eric Wang: Universal Acoustic Models (RATS/AGILE/Google Research Award part-funded)
  • Chunyang Wu: Canonical Models for Speech Processing (Natural Speech Technology funded)
  • Justin Yang: Non-Parametric models for speech recognition (EPSRC funded)
  • Austin Zhang: Structured Discriminative Models (Toshiba Funded)

Past PhD Research Students

  • 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]
  • Anton Ragni : Discriminative models for speech (examined)
  • 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]

If you are interested in studying for a PhD in the Machine Intelligence Laboratory please see the "Joining Us" page for information.

Teaching

2012-2013 Prof Gales was on Sabbatical this year.

2011-2012

For the Engineering Department:

  • 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)
  • Fourth year engineering undergraduate projects offered 2011-2012 (local access only).

For Emmanuel College: (supervision timetable local access only)

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