PHONOS: PHOnetic Neutralization for Online Streaming Applications
Speaker anonymization (SA) systems modify timbre while leaving regional or non-native accent cues intact, which is problematic because such cues can reveal a speaker's first-language or geographic background and narrow the anonymity set. To address this issue, we present PHONOS, a streaming module for real-time SA that performs accent neutralization in a privacy sense: reducing accent-origin cues by converting non-native segmental realizations toward a chosen target accent domain. Our approach pre-generates golden speaker utterances that preserve source timbre and rhythm but replace foreign segmentals with native ones using silence-aware DTW alignment and zero-shot voice conversion. These...
| Authors | Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah et al. |
|---|---|
| Primary category | eess.AS |
| Published | 27 March 2026 |
| Last updated at source | 22 September 2026 |
Connected in the knowledge graph
- warisqr007/GAPS-nptelDataset · cited by
- warisqr007/GAPSDataset · cited by
Models and datasets referencing this paper
- warisqr007/GAPS-nptelDataset
- warisqr007/GAPSDataset
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