A shared-task benchmark shows a simple CNN on audible-range spectrograms distinguishes autism-model mice from wild-type mice with UAR around 0.60 at segment level and 0.625 at subject level.
Furthermore, this paper is supported by MDSI – the Munich Data Science Institute as well as MCML – the Munich Center of Machine Learning
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MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge
A shared-task benchmark shows a simple CNN on audible-range spectrograms distinguishes autism-model mice from wild-type mice with UAR around 0.60 at segment level and 0.625 at subject level.