31 citations · 84 across the 13 of their papers we have counts for
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cs.CL2022★ 3 cited
Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition
Alexandre Bittar, Philip N. Garner
Compared to conventional artificial neurons that produce dense and real-valued responses, biologically-inspired spiking neurons transmit sparse and binary information, which can al…
q-bio.NC2022
Low-Level Physiological Implications of End-to-End Learning of Speech Recognition
Louise Coppieters de Gibson, Philip N. Garner
Current speech recognition architectures perform very well from the point of view of machine learning, hence user interaction. This suggests that they are emulating the human biolo…
stat.ML2022
Bayesian Recurrent Units and the Forward-Backward Algorithm
Alexandre Bittar, Philip N. Garner
Using Bayes's theorem, we derive a unit-wise recurrence as well as a backward recursion similar to the forward-backward algorithm. The resulting Bayesian recurrent units can be int…