Introduction to Acoustic Scene Classification
A talk covering miniaturization techniques for deep learning models operating in real-time hearing aid environments.
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A talk covering miniaturization techniques for deep learning models operating in real-time hearing aid environments.
A study of Acoustic Scene Classification (ASC) for hearing aids, leading to the development of an industrial ASC model based on a convolutional neural network designed to run in hearing aids for noise suppression purposes.
Miniaturizing Acoustic Scene Classification from 864 MFLOPs to 1.6 MFLOPs using Knowledge Distillation and Depthwise Convolutions.
An introductory course on neural networks applied to digital signal processing and sound synthesis.