ZIPA models, trained with Zipformer backbones on a new 17,132-hour IPA-labeled corpus, achieve state-of-the-art multilingual phone recognition with fewer parameters than prior systems.
InMedical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9
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ZIPA: A family of efficient models for multilingual phone recognition
ZIPA models, trained with Zipformer backbones on a new 17,132-hour IPA-labeled corpus, achieve state-of-the-art multilingual phone recognition with fewer parameters than prior systems.