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03/31/2023
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR
Conformer models maintain a large number of internal states, the vast ma...
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10/20/2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Unsupervised pre-training is now the predominant approach for both text ...
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09/27/2021
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
We summarize the results of a host of efforts using giant automatic spee...
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04/30/2021
Scaling End-to-End Models for Large-Scale Multilingual ASR
Building ASR models across many language families is a challenging multi...
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11/21/2020
A Better and Faster End-to-End Model for Streaming ASR
End-to-end (E2E) models have shown to outperform state-of-the-art conven...
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10/21/2020
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
Streaming automatic speech recognition (ASR) aims to emit each hypothesi...
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10/12/2020
Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling
Streaming automatic speech recognition (ASR) aims to emit each hypothesi...
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05/16/2020
Dynamic Sparsity Neural Networks for Automatic Speech Recognition
In automatic speech recognition (ASR), model pruning is a widely adopted...
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05/16/2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Recently Transformer and Convolution neural network (CNN) based models h...
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05/07/2020