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Machine Listening Lab

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In the Machine Listening Lab we develop methods for making sense of natural sounds, everyday sounds, and recorded music. "Machine listening" is the use of signal processing and machine learning to extract useful information from sound.

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Group photo

People

The Machine Listening Lab is jointly led by Emmanouil Benetos, Lin Wang and Aidan Hogg. Associated members come throughout the School of Electronic Engineering and Computer Science of QMUL. Our members

News and events

  • Call for PhD applications at the Machine Listening Lab – 2027 entry
  • New AI benchmark helps music generation systems better understand human preference
  • Machine Listening Lab at ICASSP 2026
  • Machine Listening Lab at ICLR 2026
  • MLLab at NeurIPS 2025
  • Call for PhD applications at the Machine Listening Lab – 2026 entry

Affiliations

  • Centre for Digital Music (C4DM)
  • Centre for Multimodal AI (CMAI)
  • Centre for Doctoral Training in AI and Music (AIM)
  • School of Electronic Engineering and Computer Science
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