22 citations · 51 across the 21 of their papers we have counts for
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Towards efficient end-to-end speech recognition with biologically-inspired neural networks
Thomas Bohnstingl, Ayush Garg, Stanisław Woźniak +3
Automatic speech recognition (ASR) is a capability which enables a program to process human speech into a written form. Recent developments in artificial intelligence (AI) have led…
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Zoltán Tüske, George Saon, Kartik Audhkhasi +1
It is generally believed that direct sequence-to-sequence (seq2seq) speech recognition models are competitive with hybrid models only when a large amount of data, at least a thousa…
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition
Wei Zhang, Xiaodong Cui, Ulrich Finkler +6
Modern Automatic Speech Recognition (ASR) systems rely on distributed deep learning to for quick training completion. To enable efficient distributed training, it is imperative tha…