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Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]

Authors :
Salvi, Davide
Borrelli, Clara
Bestagini, Paolo
Antonacci, Fabio
Stamm, Matthew
Marcenaro, Lucio
Majumdar, Angshul
Source :
IEEE Signal Processing Magazine; September 2023, Vol. 40 Issue: 6 p92-98, 7p
Publication Year :
2023

Abstract

The possibility of manipulating digital multimedia material is nowadays within everyone’s reach. In the audio case, anybody can create fake synthetic speech tracks using various methods with almost no effort <xref ref-type="bibr" rid="ref1">[1]</xref>. These methods range from simple waveform concatenation operations to more complex neural networks <xref ref-type="bibr" rid="ref2">[2]</xref>, <xref ref-type="bibr" rid="ref3">[3]</xref>.

Details

Language :
English
ISSN :
10535888 and 15580792
Volume :
40
Issue :
6
Database :
Supplemental Index
Journal :
IEEE Signal Processing Magazine
Publication Type :
Periodical
Accession number :
ejs64022468
Full Text :
https://doi.org/10.1109/MSP.2023.3268823