Attention-based sound classification pipeline with sound spectrum
Urban soundscape research and their impact study are gaining more prominence with regard to a livable environment. Machine learning models have been used extensively to classify sounds where the input sound data, commonly in wave form, needs to be collected in its full frequency spectrum. However, i...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/177690 |