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 Phil Woodland and Bill Byrne. Recent past members of the group include Milica Gasic and Steve Young.

A brief biography is available online.

Research Projects

Current projects:

• ALTA (Cambridge English funded) - local web-page
• Multimodal Video Search by Examples (MVSE) (EPSRC funded)
  Collaboration with Universities of Ulster and Surrey and the BBC - local web-page

Completed projects:

• Maori Language Revitilisation (Collaboration with Te Hiku Media)
• MATERIAL (IARPA funded) - local web-page
• MGB Challenge (English) (unfunded!) - local web-page
• Automatic Lecture Captioning @CUED (unfunded!) - local web-page
• High-Quality voice model for STatistical parametric speech Synthesis (EU funded) - local web-page
• BABEL (IARPA funded project) - local web-page
• Adaptive Meeting Transcription - PhD Studentship (Toshiba Research Europe Ltd funded)
• Natural Speech Technology (EPSRC funded project) - local web-pages: ASR TTS
• Generative Kernels and Score-Spaces for Classification of Speech (EPSRC funded project)
• Broad Operational Language Translation (DARPA funded project) - local web-page
• Robust Automatic Transcription of Speech (DARPA funded project) - local web-page
• Automatic Oral Communication Skill Evaluation (Cambridge English funded) - local web-page
• Structured Support Vector Machines for Speech Recognition (Toshiba Research Europe Ltd funded)
• Rapid and Robust Environment Aware Processing (Toshiba Research Europe Ltd funded)
• AGILE (DARPA GALE funded project)
• HTK Rich Audio Transcription (DARPA EARS funded project) - local web-pages
• CoreTex (Improving Core Speech Recognition technology)

Teaching: 2023-2024

For the Engineering Department:

• MPhil in Machine Learning and Machine Intelligence - local information
  • Spoken Language Processing and Generation (MLMI14)
• Fourth year engineering undergraduates Module 4F10: Deep Learning and Structured Data.
• Fourth year engineering undergraduates Final Year Projects.
• Third year engineering undergraduates Module 3M1: Mathematical Methods.

• Part IB Paper 6: Information Engineering

Contact Information