UrduSpeech is a large-scale, high-fidelity Urdu speech corpus comprising 156 hours of audio with comprehensive 12-dimensional paralinguistic metadata. The corpus addresses the critical under-resourcing of Urdu in speech technology by providing:
71,792 diarized utterances across diverse content categories
Three specialized subsets: Standard Pakistani Urdu (US-Std, 59.2h), Urdu-English Code-Switched (US-CS, 89.4h), and Pakistani-Accented English (US-EngPk, 7.3h)… See the full description on the dataset page:
https://huggingface.co/datasets/ASLP-lab/UrduSpeech.
