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Found 4 papers, 2 papers with code
Speaker anonymization using neural audio codec language models
The vast majority of approaches to speaker anonymization involve the extraction of fundamental frequency estimates, linguistic features and a speaker embedding which is perturbed to obfuscate the speaker identity before an anonymized speech waveform is resynthesized using a vocoder.
Long-term Conversation Analysis: Exploring Utility and Privacy
The analysis of conversations recorded in everyday life requires privacy protection.
Two-Stage Voice Anonymization for Enhanced Privacy
In recent years, the need for privacy preservation when manipulating or storing personal data, including speech , has become a major issue.
Relative Acoustic Features for Distance Estimation in Smart-Homes
Any audio recording encapsulates the unique fingerprint of the associated acoustic environment, namely the background noise and reverberation.
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