RISE Research Radar

Computer Science Open House 2022-2025

2024

Sound matters: machine learning for sound analysis

John Martinsson, Martin Willbo, Marcus Pirinen, Olof Mogren

Summary

Sound Matters: Machine Learning for Sound Analysis. Soundscape analysis for biodiversity (30 by 30 goal). Few-shot bioacoustic event detection with adaptive embedding functions. Differentiable log-Mel spectrograms (DMEL) for audio classification.

Themes

machine-learning

Keywords

sound analysis, bioacoustics, biodiversity, few-shot learning, spectrograms

Poster

Sound matters: machine learning for sound analysis poster

Click image to open full size