Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset
Visually-grounded spoken language datasets can enable models to learn cross-modal correspon- dences with very weak supervision. However, modern audio-visual datasets contain biases that un- dermine the real-world performance of models trained on that data. We introduce Spoken ObjectNet, which is des...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Center for Brains, Minds and Machines (CBMM), The 22nd Annual Conference of the International Speech Communication Association (Interspeech)
2022
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| Online Access: | https://hdl.handle.net/1721.1/141358 |