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05/07/2021
Efficient Weight factorization for Multilingual Speech Recognition
End-to-end multilingual speech recognition involves using a single model...
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10/07/2020
Super-Human Performance in Online Low-latency Recognition of Conversational Speech
Achieving super-human performance in recognizing human speech has been a...
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05/20/2020
Relative Positional Encoding for Speech Recognition and Direct Translation
Transformer models are powerful sequence-to-sequence architectures that ...
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03/22/2020
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition
Recently sequence-to-sequence models have started to achieve state-of-th...
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03/22/2020
Low Latency ASR for Simultaneous Speech Translation
User studies have shown that reducing the latency of our simultaneous le...
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10/29/2019
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation
Sequence-to-Sequence (S2S) models recently started to show state-of-the-...
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03/31/2019
Learning Shared Encoding Representation for End-to-End Speech Recognition Models
In this work, we learn a shared encoding representation for a multi-task...
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02/02/2019
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models
Acoustic-to-word (A2W) models that allow direct mapping from acoustic si...
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02/14/2018