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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mahendra Kumar Gourisaria, Rakshit Agrawal, Manoj Sahni, Pradeep Kumar Singh
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer 2024-01-01
Schriftenreihe:Discover Internet of Things
Schlagworte:
Artificial Neural Network
Audio Classification
Audio file management
Audio visualization
Automated Systems
Mel Frequency Cepstral Coefficients
Online-Zugang:https://doi.org/10.1007/s43926-023-00049-y
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