Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study

This analysis provides some insights into optimizing spectrogram-based approaches for musical instrument recognition, offering guidance for future model development and improving interpretability through statistical and visual analyses.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2024-12-18
DOI
https://doi.org/10.3389/frai.2024.1499913
Citations
3
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
1.05
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article

Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study

Ajit Narayanan, Akbar Ghobakhlou, Rujia Chen
3 citations
Frontiers in Artificial Intelligence
Music and Audio Processing
1.05
article

Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study

Ajit Narayanan, Akbar Ghobakhlou, Rujia Chen
article en
3 citations

Abstract

This analysis provides some insights into optimizing spectrogram-based approaches for musical instrument recognition, offering guidance for future model development and improving interpretability through statistical and visual analyses.

Frontiers in Artificial IntelligenceVol. 7
Auckland University of Technology (NZ)
Openalex Percentile: Top 22%
Music and Audio Processing
1.05
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