Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication
-
Updated
Nov 13, 2025 - Jupyter Notebook
Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication
VoicePrint: Forensic speaker attribution for AI voice blends. Match synthetic clones to source voices via speaker embeddings & cosine similarity. Open-source Python research toolbox.
Add a description, image, and links to the voice-forensics topic page so that developers can more easily learn about it.
To associate your repository with the voice-forensics topic, visit your repo's landing page and select "manage topics."