A comparative analysis of denoising methods for deep learning-based audio event detection in noisy agricultural environments (2025)
- Authors:
- USP affiliated authors: MOREIRA, GUILHERME AUGUSTO - EESC E ICMC ; PULCINELLI, LUCAS EDUARDO GULKA - EESC E ICMC ; SOUZA, ANDRÉ MOREIRA - ICMC
- Unidades: EESC E ICMC; ICMC
- DOI: 10.5753/sbbd.2025.247812
- Subjects: APRENDIZAGEM PROFUNDA; REDES NEURAIS; ZOOTECNIA DE PRECISÃO; BIOACÚSTICA
- Keywords: Precision Livestock Farming; Computational Bioacoustics; End-to-End Models; Feature Distortion; Non-stationary Noise
- Agências de fomento:
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
02. Fome zero e agricultura sustentável
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2025
- Source:
- Conference titles: Simpósio Brasileiro de Bancos de Dados - SBBD
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SOUZA, André Moreira e MOREIRA, Guilherme Augusto e PULCINELLI, Lucas Eduardo Gulka. A comparative analysis of denoising methods for deep learning-based audio event detection in noisy agricultural environments. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/sbbd.2025.247812. Acesso em: 13 fev. 2026. -
APA
Souza, A. M., Moreira, G. A., & Pulcinelli, L. E. G. (2025). A comparative analysis of denoising methods for deep learning-based audio event detection in noisy agricultural environments. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2025.247812 -
NLM
Souza AM, Moreira GA, Pulcinelli LEG. A comparative analysis of denoising methods for deep learning-based audio event detection in noisy agricultural environments [Internet]. Anais. 2025 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.5753/sbbd.2025.247812 -
Vancouver
Souza AM, Moreira GA, Pulcinelli LEG. A comparative analysis of denoising methods for deep learning-based audio event detection in noisy agricultural environments [Internet]. Anais. 2025 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.5753/sbbd.2025.247812 - PATSA-BIL: pipeline for automated texture and structure analysis of borehole image logs
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Informações sobre o DOI: 10.5753/sbbd.2025.247812 (Fonte: oaDOI API)
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