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Found 3 papers, 2 papers with code
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs
In this work, we use the deep neural network (DNN) DeepSpeech2, as a paradigm to investigate how natural input and cochlear implant-based inputs are processed over time.
naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python
Recently, the computational neuroscience community has pushed for more transparent and reproducible methods across the field.
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
We show that training causes these integration windows to shrink at early layers and expand at higher layers, creating a hierarchy of integration windows across the network.
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