An Open Dataset of Synthetic Speech, 2023 IEEE International Workshop on Information Forensics and Security (WIFS), Nürnberg, Germany, 2023, pp. 1-6
ODSS is a multilingual, multispeaker dataset of synthetic and natural speech, designed to foster research and benchmarking of novel studies on synthetic speech detection.
ODSS comprises audio utterances generated from text by state-of-the-art synthesis methods, paired with their corresponding natural counterparts. The synthetic audio data includes several languages, with an equal representation of genders.
Natural and synthetic speech audio files within ODSS are released under the CC-BY-SA 4.0 license: Usage, extension and redistribution by the research community are strongly encouraged. (http://creativecommons.org/licenses/by/4.0/).
Authors: Artem Yaroshchuk
, Christoforos Papastergiopoulos, Luca Cuccovillo
Download Dataset: https://zenodo.org/records/8370668
Fraunhofer Institute for Digital Media Technology IDMT