Published December 14, 2022
| Version v1
Conference paper
Open
Open Challenges in Synthetic Speech Detection
Authors/Creators
- 1. Fraunhofer Institute for Digital Media Technology IDMT
Description
In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis of available open datasets and of existing detection methods, a description of the requirements for new research datasets compliant with regulations and better representing real-case scenarios, and a discussion of the desired characteristics of future trustworthy detection methods in terms of both functional and non-functional requirements. Compared to other works, based on specific detection solutions or presenting single dataset of synthetic speeches, our paper is meant to orient future state-of-the-art research in the domain, to quickly lessen the current gap between synthesis and detection approaches.
Files
IEEE_WIFS_2022___Open_Challenges_in_Speech_Synthesis_Detection_v1.pdf
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