datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VaaniVAANI is an India-representative multi-modal multi-lingual dataset.
The current version (phase 1- 80 districts, phase 2- 85 districts) contains ~31278 hours of spontaenous,image-prompted speech by 156K speakers across 165 districts, talking about 288K images covering 105 languages.
From this audio data, 2,122 hours of transcribed data(text) is available, spanning almost evenly across the 165 districts.
Project Vaani, by IISc, Bangalore and ARTPARK, is capturing the true diversity of India’s… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani.Vaani-Benchmark-V1.0
Vaani-Benchmark-V1.0
A curated ASR evaluation set drawn from the Vaani project. This benchmark contains 5,050 audio segments from 1,103 speakers across 104 Indian districts, each with three independent human transcriptions.
Evaluation Toolkit
A standalone toolkit implementing this benchmark's scoring methodology, plus
Latin-script normalization for code-switched predictions and one-command
publishing of results to a model's HF card, is available at… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Benchmark-V1.0.Vaani-Atypical-Speech-CorpusProject Euphonia is a public initiative led by Google that aims to improve Automatic Speech Recognition (ASR) for individuals with atypical speech. To date, most of Project Euphonia’s work has focused on English, resulting in outcomes such as the Android application Project Relate, which generates personalized speech recognition models in English.
In recent years, the project has expanded its data collection efforts to additional languages, including French, Spanish, Japanese, and Hindi.
The… See the full description on the dataset page: https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Atypical-Speech-Corpus.