Open X-Embodiment
1M+ real-robot trajectories from 20+ institutions.
Rasa: Towards Building an Expressive Multilingual Text-To-Speech Dataset for Indian Languages Funded by: Bhashini, Ministry of Electronics and Information Technology, Government of IndiaSupported by: EkStep Foundation and Nilekani Philanthropies Overview We introduce Rasa, the first high-quality multilingual expressive Text-to-Speech (TTS) dataset for any Indian language. It comprises a minimum of 20 hours per speaker with a target of covering a female and male… See the full description on the dataset page:
Source: Hugging Face Hub (ai4bharat/Rasa). Metadata imported from the dataset’s Hub tags.