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Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching
While many speakers of low-resource languages regularly code-switch between their languages and other regional languages or English, datasets of codeswitched speech are too small to train bespoke acoustic models from scratch or do language model rescoring.
Automated speech tools for helping communities process restricted-access corpora for language revival efforts
An even narrower bottleneck occurs for recordings with access constraints, such as language that must be vetted or filtered by authorised community members before annotation can begin.
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