Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models

Sound classification is a multifaceted task that necessitates the gathering and processing of vast quantities of data, as well as the construction of machine learning models that can accurately distinguish between various sounds. In our project, we implemented a novel methodology for classifying bot...

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Veröffentlicht in:	International journal of advanced computer science & applications 2024, Vol.15 (7)
Hauptverfasser:	Rezaul, Karim Mohammed, Jewel, Md, Islam, Md Shabiul, Siddiquee, Kazy Noor e Alam, Barua, Nick, Rahman, Muhammad Azizur, Shan-A-Khuda, Mohammad, Sulaiman, Rejwan Bin, Shaikh, Md Sadeque Imam, Hamim, Md Abrar, Tanmoy, F.M, Haque, Afraz Ul, Nipun, Musarrat Saberin, Dorudian, Navid, Kareem, Amer, Farid, Ahmmed Khondokar, Mubarak, Asma, Jannat, Tajnuva, Asha, Umme Fatema Tuj
Format:	Artikel
Sprache:	eng
Schlagworte:	Audio data Background noise Classification Data augmentation Data processing Deep learning Feature extraction Image classification Machine learning Musical instruments Neural networks Recurrent neural networks Speech recognition
Online-Zugang:	Volltext
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