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Towards efficient end-to-end speech recognition with
  biologically-inspired neural networks

Towards efficient end-to-end speech recognition with biologically-inspired neural networks

4 October 2021
Thomas Bohnstingl
Ayush Garg
Stanislaw Wo'zniak
G. Saon
E. Eleftheriou
A. Pantazi
ArXivPDFHTML

Papers citing "Towards efficient end-to-end speech recognition with biologically-inspired neural networks"

3 / 3 papers shown
Title
Influence Function Based Second-Order Channel Pruning-Evaluating True
  Loss Changes For Pruning Is Possible Without Retraining
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
Hongrong Cheng
Miao Zhang
Javen Qinfeng Shi
AAML
20
1
0
13 Aug 2023
Online Spatio-Temporal Learning in Deep Neural Networks
Online Spatio-Temporal Learning in Deep Neural Networks
Thomas Bohnstingl
Stanislaw Wo'zniak
Wolfgang Maass
A. Pantazi
E. Eleftheriou
13
43
0
24 Jul 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
481
0
26 Mar 2018
1