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Synchronous Transformers For End-To-End Speech Recognition

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IEEE ICASSP 2020 Virtual Conference May 2020

For most of the attention-based sequence-to-sequence models, the decoder predicts the output sequence conditioned on the entire input sequence processed by the encoder. The asynchronous problem between the encoding and decoding makes these models difficul

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Synchronous Transformers For End-To-End Speech Recognition

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For most of the attention-based sequence-to-sequence models, the decoder predicts the output sequence conditioned on the entire input sequence processed by the encoder. The asynchronous problem between the encoding and decoding makes these models difficul