These Matlab codes are the implementation of the TASLP paper, "Speech enhancement based on student t modeling of Teager energy operated perceptual wavelet packet coefficients and a custom thresholding function". In this paper, we showed how the student t distribution can be used to model the perceptual wavelet packet coefficients and how a proper thresholding based on that perform speech enhancement in an efficient way. Teager energy has been used to amplify the difference between the noisy and clean signal coefficients.
The link to the paper in pdf:
https://www.researchgate.net/profile/Md_Tauhidul_Islam2/publications

or Matlab code in file exchange:
http://www.mathworks.com/matlabcentral/fileexchange/55030-speech-enhancement-based-on-student-t-modeling-of-te-operated-pwp-coefficients

Please do not forget to cite our paper when you use our code.

Features

  • wavelet packet
  • perceptual wavelet
  • speech processing
  • student t
  • speech enhancement
  • matlab speech
  • speaker recognition
  • denoising
  • speech denoising
  • kullback liebler
  • thresholding
  • soft threshold
  • semisoft threshold
  • hard threshold

Project Activity

See All Activity >

Follow Student t based Speech Enhancement

Student t based Speech Enhancement Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Student t based Speech Enhancement!

Additional Project Details

Registered

2016-01-22
Report inappropriate content