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Skip search results from other journals and go to results- 1 JMIR Formative Research
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The smartphone-based, acoustical snore detection algorithm used in the Sleep Watch app was developed by the Bodymatter team in-house, using a deep neural net model trained on over 60,000 individually validated, real-world snore and nonsnore sounds. The Sleep Watch snore detection capabilities were then tested against an array of snoring and sleep audio files in a controlled acoustic setting.
JMIR Form Res 2025;9:e67861
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