Anna Leschanowsky
Anna Leschanowsky
Fraunhofer IIS
Verified email at - Homepage
Cited by
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Is it harder to perceive coding artifact in foreign language items?–a study with mandarin chinese and german speaking listeners
N Schinkel-Bielefeld, Z Jiandong, Q Yili, AK Leschanowsky, F Shanshan
Audio Engineering Society Convention 142, 2017
VoicePrivacy 2022 system description: speaker anonymization with feature-matched f0 trajectories
ÜE Gaznepoglu, A Leschanowsky, N Peters
arXiv preprint arXiv:2210.17338, 2022
Design implications for human-machine interactions from a qualitative pilot study on privacy
A Leschanowsky, B Brüggemeier, N Peters
Proc. 2021 ISCA symposium on security and privacy in speech communication, 76-79, 2021
Perception of Privacy Measured in the Crowd− Paired Comparison on the Effect of Background Noises
A Leschanowsky, S Das, T Bäckström, PP Zarazaga
Interspeech, 4651-4655, 2020
Debiasing strategies for conversational AI: improving privacy and security decision-making
A Leschanowsky, B Popp, N Peters
Digital Society 2 (3), 34, 2023
Privacy Strategies for Conversational AI and their Influence on Users' Perceptions and Decision-Making
A Leschanowsky, B Popp, N Peters
Proceedings of the 2023 European Symposium on Usable Security, 296-311, 2023
Perception of Coding Artifacts by Nonnative Speakers-A Study with Mandarin Chinese and German Speaking Listeners
N Schinkel-Bielefeld, J Zhang, Y Qin, AK Leschanowsky, S Fu
Journal of the Audio Engineering Society 66 (1/2), 60-70, 2018
How Much Is the Use of a Rating Scale by a Listener Influenced by Anchors and by the Listener's Experience?
N Schinkel-Bielefeld, AK Leschanowsky
Audio Engineering Society Convention 138, 2015
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
C Rusti, A Leschanowsky, C Quinlan, M Pnacekova, L Gorce, WT Hutiri
2023 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2023
Chatbot Language-crowdsource perceptions and reactions to dialogue systems to inform dialogue design decisions
B Popp, P Lalone, A Leschanowsky
Behavior Research Methods 55 (4), 1601-1623, 2023
Adapting debiasing strategies for conversational AI
A Leschanowsky, B Popp, N Peters
Zagreb, Croatia, 74, 2022
On the influence of cultural differences on the perception of audio coding artifacts in music
S Dick, J Zhang, Y Qin, N Schinkel-Bielefeld, AK Leschanowsky, F Nagel
Audio Engineering Society Convention 145, 2018
Voice Anonymization for All-Bias Evaluation of the Voice Privacy Challenge Baseline Systems
A Leschanowsky, ÜE Gaznepoglu, N Peters
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Uncertain yet Rational-Uncertainty as an Evaluation Measure of Rational Privacy Decision-Making in Conversational AI
A Leschanowsky, B Popp, N Peters
International Conference on Human-Computer Interaction, 203-220, 2023
Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review
A Leschanowsky, S Rech, B Popp, T Bäckström
Computers in Human Behavior, 108344, 2024
System and method for voice modification
ÜE Gaznepoglu, AK Leschanowsky, N Peters
Towards Speech Privacy Assessment for Voice Assistants: Exploring Subjective and Objective Measures for Babble Noise
A Rajasekhar, A Leschanowsky, N Peters
Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz …, 2024
Experts-in-the-Loop: Establishing an Effective Workflow in Crafting Privacy Q&A
Z Kolagar, AK Leschanowsky, B Popp
arXiv preprint arXiv:2311.11161, 2023
12 Moderne Sprachassistenten zwischen Datenhunger und Datenschutz
A Zarcone, A Leschanowsky
Künstliche Intelligenz und menschliche Gesellschaft, 167, 2023
Privacy in Speech and Language Technology: Working Group-Case studies and user interaction
Z Benenson, A Elbi, Z Erkin, N Fernandes, S Fischer-Hübner, I Habernal, ...
Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2023
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