# Episode 139: Advanced robot hearing - Christine Evers

- Show: [Robot Talk](https://hardwarepodcasts.com/podcast/robot-talk)
- Published: 2026-01-09
- Length: 28m
- Episode: 139
- Page: https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers
- Listen: https://ukrobotics.libsyn.com/episode-139-advanced-robot-hearing-christine-evers

## Summary

Christine Evers, Director of the Centre for Robotics at the University of Southampton, discusses bio-inspired machine listening that enables robots to understand complex acoustic environments. She explains how embedding human auditory processing into deep learning architectures creates efficient, interpretable models suitable for resource-constrained robots, moving away from massive, energy-hungry internet-scale models. The conversation covers the challenges of ego noise, the need for spatial awareness via microphone arrays, and the concept of 'active audition' where robot movement shapes auditory perception.

## Chapters

- [0:07](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=7) Introduction and Centre for Robotics Overview
- [6:03](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=363) Challenges of Machine Listening in Dynamic Environments
- [10:21](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=621) Microphone Arrays and Ego Noise Problems
- [13:00](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=780) Data Scarcity and Simulation for Spatial Audio
- [16:33](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=993) Active Audition and Moving Sensors
- [21:25](https://hardwarepodcasts.com/podcast/robot-talk/2026-01-09-episode-139-advanced-robot-hearing-christine-evers#t=1285) Sustainable and Interpretable AI Models

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Robotics & autonomy](https://hardwarepodcasts.com/topic/robotics-and-autonomy)
- [Debugging & failure analysis](https://hardwarepodcasts.com/topic/debugging-and-failure-analysis)

## Most relevant to

established companies

## Mentioned

- University of Southampton (company)
- Centre for Robotics (other)
- UKRI trustworthy autonomous system (other)
- Responsible AI UK (other)

## Related episodes from other shows

- [Giving the Humanoid iCub Embodied, Neuromorphic Vision](https://hardwarepodcasts.com/podcast/ee-times-current/2024-02-09-giving-the-humanoid-icub-embodied-neuromorphic-vision) (EE Times Current)
- [104. Recapping 2022](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2023-01-10-104-recapping-2022) (The Next Byte Podcast)
- [Why Sound Processing Takes Time, Not Just Frequency](https://hardwarepodcasts.com/podcast/ee-times-current/2024-03-15-why-sound-processing-takes-time-not-just-frequency) (EE Times Current)
- [Neurons Close the Loop from Insect Perception to Action](https://hardwarepodcasts.com/podcast/ee-times-current/2025-09-09-neurons-close-the-loop-from-insect-perception-to-action) (EE Times Current)
- [103. Ant Inspired Swarm Robots](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2023-01-03-103-ant-inspired-swarm-robots) (The Next Byte Podcast)

## Citing this page

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