Efficient Monotonic Multihead Attention

November 30, 2023

Abstract

We introduce the Efficient Monotonic Multihead Attention (EMMA), a state-of-the-art simultaneous translation model with numerically-stable and unbiased monotonic alignment estimation. In addition, we present improved training and inference strategies, including simultaneous fine-tuning from an offline translation model and reduction of monotonic alignment variance. The experimental results demonstrate that the proposed model attains state-of-the-art performance in simultaneous speech-to-text translation on the Spanish and English translation task.

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AUTHORS

Written by

Xutai Ma

Anna Sun

Siqi Ouyang

Hirofumi Inaguma

Paden Tomasello

Publisher

meta ai + arxiv

Research Topics

Speech & Audio

Natural Language Processing (NLP)

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