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Philip Garner

Senior Researcher and Group Leader

Idiap Research Institute

Martigny, Switzerland

In the group we work generally in audio and machine learning. In particular, we focus on mathematically rigorous and biologically plausible techniques.

My organisation

Idiap Research Institute

Idiap Research Institute

Research Centre

Martigny, Switzerland

At Idiap Research Institute, we are dedicated to advancing the fields of artificial intelligence and machine learning through innovative research and technology development. Our team of experts collaborates across disciplines to tackle complex challenges, from speech and audio processing to computer vision and human-computer interaction. By fostering partnerships with academic institutions and industry leaders, we aim to bridge the gap between cutting-edge research and practical applications. Join us as we contribute to shaping the future of intelligent systems and driving impactful solutions in a variety of domains.
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About me

Philip N. Garner received the degree of M.Eng. in Electronic Engineering from the University of Southampton, U.K., in 1991, and the degree of Ph.D. (by publication) from the University of East Anglia, U.K., in 2012.

He first joined the Royal Signals and Radar Establishment in Malvern, Worcestershire working on pattern recognition and later speech processing. In 1998 he moved to Canon Research Centre Europe in Guildford, Surrey, where he designed speech recognition metadata for retrieval. In 2001, he was seconded (and subsequently transfered) to the speech group at Canon Inc. in Tokyo, Japan, to work on multilingual aspects of speech recognition and noise robustness.

As of April 2007, he is a senior research scientist at Idiap Research Institute, Martigny, Switzerland, where he continues to work in research and development of speech recognition, synthesis and signal processing.

He is a senior member of the IEEE, and has published internationally in conference proceedings, patent, journal and book form as well as serving as coordinating editor of ISO/IEC 15938-4 (MPEG-7 Audio). He is currently on the editorial board of Speech Communication and has previously served as associate editor and senior area editor for Signal Processing Letters.

Social media

Skills

  • Bayesian methods
  • speech processing
  • Machine Learning
  • AI

Interests

  • Spiking networks
  • Recurrence

Marketplace (1)

  • Project cooperation

    Neuromorphic computing

    Advance the state of the art in computation using spiking networks, both for classification and generative models.

    • Proposal Idea
    • POSTDOCTORAL FELLOWSHIP: Looking for Fellow
    Author

    Philip Garner

    Senior Researcher and Group Leader at Idiap Research Institute

    Martigny, Switzerland