Papers by Mutian He

1 papers
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation (2023.findings-emnlp)

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Challenge: Modern artificial intelligence is characterized by large pretrained language models with strong language capabilities to be adapted to various downstream tasks.
Approach: They propose to use the task of speech translation (ST) to pretrain speech models for end-to-end SLU on intra- and cross-lingual scenarios.
Outcome: The proposed model achieves higher performance over baselines on monolingual and multilingual intent classification as well as spoken question answering using SLURP, MINDS-14, and NMSQA benchmarks.

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