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Musical Instrument Classification Using Deep Learning Approach

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dc.contributor.author Abul Basher, Md.
dc.contributor.author Mesbahul Haq, Md.
dc.contributor.author Sourov, Shymoon Ahmed
dc.date.accessioned 2020-12-05T07:35:49Z
dc.date.available 2020-12-05T07:35:49Z
dc.date.issued 2020-10-01
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5263
dc.description.abstract We have presented a musical instrument classification method in this paper. This Knowledge of the instrumentation of a musical signal could be useful for major audio signal processing problems such as sound source separation and automated music transcription. We used convolutional neural networks (CNNs), k-Nearest Neighbors (KNN), Support Vector Machine (SVM) to develop the project as it requires less formal statistical training. This project can help people mainly for music data analysis. Many other projects has been prepared earlier. On this topic but we tried our best to reduce the errors and add more instruments to classify than before. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Classification--Books--Scientific Apparatus and Instruments en_US
dc.title Musical Instrument Classification Using Deep Learning Approach en_US
dc.type Other en_US


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