Skip to content
#

machine-learning-for-speech

Here is 1 public repository matching this topic...

Speaker recognition using Gaussian Mixture Models (GMM) involves identifying speakers by modeling their voice features with statistical distributions. GMMs are trained on speech data to distinguish between different speakers based on their unique vocal characteristics. This technique is commonly used in voice biometrics and authentication systems.

  • Updated Feb 17, 2025
  • Python

Improve this page

Add a description, image, and links to the machine-learning-for-speech topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the machine-learning-for-speech topic, visit your repo's landing page and select "manage topics."

Learn more