no code implementations • LEGAL (LREC) 2022 • Pawel Kamocki, Ingo Siegert
The debate on the use of personal data in language resources usually focuses — and rightfully so — on anonymisation.
no code implementations • LEGAL (LREC) 2022 • Ingo Siegert, Yamini Sinha, Gino Winkelmann, Oliver Jokisch, Andreas Wendemuth
Hereby, above all, the user’s speech data is stored and processed on a cloud platform, being the decisive factor for a good performance in speech processing and understanding.
no code implementations • 15 Sep 2023 • Suhita Ghosh, Yamini Sinha, Ingo Siegert, Sebastian Stober
The rising trend of using voice as a means of interacting with smart devices has sparked worries over the protection of users' privacy and data security.
1 code implementation • 14 Sep 2023 • Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober
Speech anonymisation prevents misuse of spoken data by removing any personal identifier while preserving at least linguistic content.
no code implementations • LREC 2020 • Ingo Siegert
A specifically developed quiz was starting point of the conversation, as the voice assistant was presented to the visitors as a possible joker for the quiz.
no code implementations • WS 2019 • Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, Wolfgang Minker
Mixup is shown to be beneficial for merging acoustic data (extracted features but not raw waveforms) from different domains that allows us to reach a higher classification performance on human-machine AD and also for training a multipurpose neural network that is capable of solving both human-machine and adult-child AD problems.
no code implementations • LREC 2012 • J{\"o}rg Frommer, Bernd Michaelis, Dietmar R{\"o}sner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, Ingo Siegert
The LAST MINUTE corpus comprises multimodal recordings (e. g. video, audio, transcripts) from WOZ interactions in a mundane planning task (R{\"o}sner et al., 2011).