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cs.CL2024
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
Yexing Du, Youcheng Pan, Ziyang Ma +7
Multimodal Large Language Models (MLLMs) have achieved significant success in Speech-to-Text Translation (S2TT) tasks. While most existing research has focused on English-centric t…
eess.AS2024★ 1 cited
A unified multichannel far-field speech recognition system: combining neural beamforming with attention based end-to-end model
Dongdi Zhao, Jianbo Ma, Lu Lu +6
Far-field speech recognition is a challenging task that conventionally uses signal processing beamforming to attack noise and interference problem. But the performance has been fou…