Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition

Artificial neural networks (ANN) have become the mainstream acoustic modeling technique for large vocabulary automatic speech recognition (ASR). A conventional ANN features a multi-layer architecture that requires massive amounts of computation. The brain-inspired spiking neural networks (SNN) close...

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Bibliographic Details
Main Authors: Jibin Wu, Emre Yılmaz, Malu Zhang, Haizhou Li, Kay Chen Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Neuroscience
Subjects:
deep spiking neural networks
automatic speech recognition
tandem learning
neuromorphic computing
acoustic modeling
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00199/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00199/full

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