YChenL/UniVR
An official implement of "UniVR: A Unified Framework for Pitch-Shifted Voice Restoration in Speaker Identification"
If you work with speaker identification systems, this project helps restore the quality of voice recordings that have been intentionally or unintentionally pitch-shifted. It takes in these altered voice samples and outputs restored versions, making it easier for your speaker identification system to accurately recognize individuals. This is designed for researchers and engineers developing or utilizing speaker identification technologies.
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Use this if you need to improve the accuracy of speaker identification when dealing with voice recordings that have had their pitch altered.
Not ideal if your primary challenge is noise reduction or accent variability, rather than pitch-shifting, in voice recordings.
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Aug 31, 2023
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