Research Article
Multiple Musical Instrument Signal Recognition Based on Convolutional Neural Network
Table 7
Comparison between the proposed model and existing methods.
| | Piano | Violin | Viola | Guitar | Saxophone | Bassoon tube | Timpani | Xylophone | Bass | Trumpet | Overall accuracy |
| MA | 0.912 | 0.903 | 0.849 | 0.908 | 0.855 | 0.859 | 0.809 | 0.743 | 0.762 | 0.889 | 0.825 | Bipolar classification model | 0.913 | 0.901 | 0.853 | 0.907 | 0.863 | 0.866 | 0.822 | 0.811 | 0.834 | 0.880 | 0.857 | Duet | 0.827 | 0.881 | — | 0.829 | — | — | — | — | — | — | 0.841 | Trio | 0.683 | 0.825 | — | 0.828 | — | — | — | — | — | — | 0.778 | Quartet | 0.573 | 0.799 | — | 0.791 | — | — | — | — | — | — | 0.731 |
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