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eess.AS2020
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…
eess.AS2019
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…