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Fast and accurate annotation of acoustic signals with deep neural networks
2021
eLife
Acoustic signals serve communication within and across species throughout the animal kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication requires annotating acoustic signals: segmenting and identifying individual acoustic elements like syllables or sound pulses. To be useful, annotations need to be accurate, robust to noise, and fast.We here introduce DeepAudioSegmenter (DAS), a method that annotates acoustic signals across species based on a deep-learning
doi:10.7554/elife.68837
pmid:34723794
pmcid:PMC8560090
fatcat:glsyehz75ffx5nscyb7txts6qy