{"total":18,"rows":[{"id":"2404.02677","title":"The VoicePrivacy 2024 Challenge Evaluation Plan","created":"2024-04-03","cited_by_count":41,"area":null},{"id":"2404.08064","title":"The Impact of Speech Anonymization on Pathology and Its Limits","created":"2024-04-11","cited_by_count":11,"area":null},{"id":"2409.03655","title":"Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization","created":"2024-09-05","cited_by_count":10,"area":null},{"id":"2406.09277","title":"End-to-end streaming model for low-latency speech anonymization","created":"2024-06-13","cited_by_count":9,"area":null},{"id":"2601.11846","title":"The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization","created":"2026-01-17","cited_by_count":8,"area":null},{"id":"2407.05608","title":"A Benchmark for Multi-speaker Anonymization","created":"2024-07-08","cited_by_count":7,"area":null},{"id":"2407.02937","title":"Probing the Feasibility of Multilingual Speaker Anonymization","created":"2024-07-03","cited_by_count":5,"area":null},{"id":"2409.19078","title":"Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2504.14183","title":"The First VoicePrivacy Attacker Challenge","created":"2025-04-19","cited_by_count":4,"area":null},{"id":"2601.20432","title":"Self Voice Conversion as an Attack against Neural Audio Watermarking","created":"2026-01-28","cited_by_count":4,"area":null},{"id":"2304.02181","title":"On the Impact of Voice Anonymization on Speech Diagnostic Applications: a Case Study on COVID-19 Detection","created":"2023-04-05","cited_by_count":1,"area":null},{"id":"2307.08403","title":"Vocoder drift compensation by x-vector alignment in speaker anonymisation","created":"2023-07-17","cited_by_count":1,"area":null},{"id":"2410.07428","title":"The First VoicePrivacy Attacker Challenge Evaluation Plan","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2508.07086","title":"SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantization","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2306.16071","title":"Long-term Conversation Analysis: Exploring Utility and Privacy","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2410.04704","title":"Modeling and Estimation of Vocal Tract and Glottal Source Parameters Using ARMAX-LF Model","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2505.00409","title":"Perceptual implications of automatic anonymization in pathological speech","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2608.25285","title":"A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}