Time-Frequency Representations for Improving Environmental Sound Classification with Deep Learning Models

Authors

Moon-Ki Back (ORCID: https://orcid.org/0000-0001-7695-970X)
Hajin Shim (ORCID: https://orcid.org/0000-0002-0116-3237)

Publication Details

Journal: Journal of Software Assessment and Valuation
Published: 2024-12-31
DOI: https://doi.org/10.29056/jsav.2024.12.24
Primary Topic: Music and Audio Processing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Time-Frequency Representations for Improving Environmental Sound Classification with Deep Learning Models

Moon-Ki Back, Hajin Shim

Dec 31, 2024

Journal of Software Assessment and Valuation

Music and Audio Processing

article

Time-Frequency Representations for Improving Environmental Sound Classification with Deep Learning Models

Moon-Ki Back, Hajin Shim

December 31, 2024article en

Abstract

No abstract available for this paper.

Journal of Software Assessment and ValuationVol. 20(4)

Climate action

Openalex Percentile: Top 73%

Music and Audio Processing

DOI Open Access PDF OpenAlex

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Time-Frequency Representations for Improving Environmental Sound Classification with Deep Learning Models — Moon-Ki Back, Hajin Shim · Journal of Software Assessment and Valuation (2024) | TGRS Research Map | TGRS