This is the Windows app named Resemblyzer whose latest release can be downloaded as Resemblyzer0.1.1-devsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Resemblyzer
DESCRIPTION
Resemblyzer is a Python package for analyzing and comparing voices with deep learning. It works by turning speech audio into a compact voice embedding that represents the speaker’s vocal characteristics. These embeddings can then be used for speaker similarity, clustering, diarization experiments, voice comparison, and audio dataset exploration. The project is useful for researchers and developers who need a practical way to reason about speaker identity without building a voice encoder from scratch. It can help identify whether two recordings sound like the same speaker or visualize voice relationships across many samples. Its main value is making speaker representation accessible through a simple Python workflow.
Features
- Deep learning voice analysis
- 256-value speaker embeddings
- Voice similarity comparison
- Speaker clustering support
- Audio dataset exploration
- Python-based research workflow
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/resemblyzer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
