Who is this for?
- Researchers seeking to protect voiceprints of their cohort to facilitate sharing of the files with collaborators
- No coding experience will be required to run the modules
How do you parallelize?
- Run the module on several digital voice audio files at once.
Tool Category: De-identification
Function: Voiceprint De-identification
Tool type: Digital Voice Tool
Key Capabilities:
- Maximizes the protection of a speaker’s identity (voiceprint) via voice alteration, while simultaneously maximizing the preservation of cognitive signal
- Customizable parameters such as pitch, time scale, timbre, f0, and noise levels are utilized to alter the voice
Based on:
- Open-source software packages such as librosa, soundfile, and pyworld
Works With:
- Digital voice audio files
Potential use cases:
- Protection against identification of a speaker via their unique voiceprint