Sound matters: machine learning for sound analysis
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
Keywords
sound analysis, bioacoustics, biodiversity, few-shot learning, spectrograms
Poster
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