BriefGPT.xyz
Dec, 2020
探索迁移学习用于端到端语音理解
Exploring Transfer Learning For End-to-End Spoken Language Understanding
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Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su...
TL;DR
本文提出了一种多任务联合训练的端到端语音理解模型“Audio-Text All-Task (AT-AT) Model”,该模型能够同时训练语音转文字、语音理解和文本理解任务,不仅可以在多个数据集上实现最优性能,还可用于零-shot端到端语音理解任务。
Abstract
voice assistants
such as Alexa, Siri, and Google Assistant typically use a two-stage
spoken language understanding
pipeline; first, an Automatic Speech Recognition (
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