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cs.CL2024
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks
Nakamasa Inoue, Shinta Otake, Takumi Hirose +2
Self-supervised learning has emerged as a key approach for learning generic representations from speech data. Despite promising results in downstream tasks such as speech recogniti…
cs.CL2018★ 2 cited
Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition
Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda
We investigate the feasibility of sequence-level knowledge distillation of Sequence-to-Sequence (Seq2Seq) models for Large Vocabulary Continuous Speech Recognition (LVSCR). We firs…