Rajasekhar A, Leschanowsky A, Peters N (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Ostbayerische Technische Hochschule Regensburg
City/Town: Regensburg
Pages Range: 116-123
Conference Proceedings Title: Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz
The growing prevalence of voice assistants has sparked privacy concerns with respect to content privacy and potential human-based attacks such as eavesdropping which make users feel uncomfortable utilizing them in public. To address these challenges, understanding human privacy perceptions in acoustic environments becomes paramount. This understanding can empower voice assistants to accurately quantify privacy perceptions, adapt conversational patterns, and ultimately enhance human-machine interaction. This study draws inspiration from human-tohuman interactions and previous research on acoustic privacy, to quantify privacy perceptions in environments characterized by babble noise. The primary objective is a comprehensive evaluation of both objective and subjective measures to quantitatively capture privacy perceptions in acoustic environments.
APA:
Rajasekhar, A., Leschanowsky, A., & Peters, N. (2024). Towards Speech Privacy Assessment for Voice Assistants: Exploring Subjective and Objective Measures for Babble Noise. In Timo Baumann (Eds.), Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz (pp. 116-123). Regensburg, DE: Regensburg: Ostbayerische Technische Hochschule Regensburg.
MLA:
Rajasekhar, Anjana, Anna Leschanowsky, and Nils Peters. "Towards Speech Privacy Assessment for Voice Assistants: Exploring Subjective and Objective Measures for Babble Noise." Proceedings of the 35. Konferenz Elektronische Sprachsignalverarbeitung, Regensburg Ed. Timo Baumann, Regensburg: Ostbayerische Technische Hochschule Regensburg, 2024. 116-123.
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