This corpus aims to provide a basis for Machine Learning (ML) researchers and enthusiasts to train and test their models against a wide variety of speakers, hardware/software ecosystems and acoustic conditions to improve generalization and availability of ML in real-world speech applications.
The current version of Common Phone comprises 116,5 hours of speech samples, collected from 11.246 speakers in 6 languages.
Common Phone has been used as the… See the full description on the dataset page:
https://huggingface.co/datasets/pklumpp/CommonPhoneDataset.
