Multilingual generative meta-learning for spoken word classification shows small gains over monolingual models, with unique data volume mattering more than the number of languages.
Proceedings of The 1st Conference on Lifelong Learning Agents , pages =
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Does language matter for spoken word classification? A multilingual generative meta-learning approach
Multilingual generative meta-learning for spoken word classification shows small gains over monolingual models, with unique data volume mattering more than the number of languages.
- Scaling few-shot spoken word classification with generative meta-continual learning