Open AccessAnalysis of Best Algorithm for Noise Reduction in Podcasting
Author(s) -
Siya Sadashiv Naik,
Gouri Bhatikar,
Ugam Gaude
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst218342
Subject(s) - computer science , noise reduction , reduction (mathematics) , noise (video) , speech recognition , algorithm , multimedia , artificial intelligence , mathematics , image (mathematics) , geometry
Podcast allows recording of audio file on any topic. It is like an interview where one person questions and another person replies back to that question. Podcasting requires both the people to be present physically at one location. But recently, due to the pandemic, it is conducted online which most of the time results in poor quality of the audio. One of the reasons for the same is the presence of noise in it. This paper compares various noise reduction algorithms and also states the best algorithm to solve the above problem. We carried out our experiment on various audio files. Results were compared against various noise reduction methods and best ratio was obtained for Spectral Gating Algorithm.