Bilingual fine-tuning improves low-resource ASR with language identification

A study finds bilingual fine-tuning enhances automatic speech recognition in low-resource languages when language identification is accurate. Including a language identification token at inference improves ASR performance when identification accuracy is low, especially in diverse language pairs across different families and writing systems.