Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques

Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques

Abstract In the era of automated and digitalized information, advanced computer applications deal with a major part of the data that comprises audio-related information. Advancements in technology have ushered in a new era where cutting-edge devices can deliver comprehensive insights into audio cont...

Full description

Bibliographic Details
Main Authors: Mahendra Kumar Gourisaria, Rakshit Agrawal, Manoj Sahni, Pradeep Kumar Singh
Format: Article
Language:English
Published: Springer 2024-01-01
Series:Discover Internet of Things
Subjects:
Artificial Neural Network
Audio Classification
Audio file management
Audio visualization
Automated Systems
Mel Frequency Cepstral Coefficients
Online Access:https://doi.org/10.1007/s43926-023-00049-y

Internet

https://doi.org/10.1007/s43926-023-00049-y

Similar Items