| 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 |