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cs.LG2022
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting
Wei-Tsung Kao, Yuan-Kuei Wu, Chia-Ping Chen +3
User-defined keyword spotting is a task to detect new spoken terms defined by users. This can be viewed as a few-shot learning problem since it is unreasonable for users to define…
cs.SD2022
Improving the transferability of speech separation by meta-learning
Kuan-Po Huang, Yuan-Kuei Wu, Hung-yi Lee
Speech separation aims to separate multiple speech sources from a speech mixture. Although speech separation is well-solved on some existing English speech separation benchmarks, i…