Forroset: A Multipurpose Dataset of Brazilian Forró Music

Ferreira-Paiva, Lucas; Alfaro-Espinoza, Elizabeth Regina; Santana, Pablo de Souza Vieira; Almeida, Vinicius Martins; Moitinho, Amanda Bomfim; Félix, Leonardo Bonato; Neves, Rodolpho Vilela Alves

doi:10.1007/978-3-031-22419-5_2

Lecture Notes in Computer Science

2022

DOI: 10.1007/978-3-031-22419-5_2

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Forroset: A Multipurpose Dataset of Brazilian Forró Music

Lucas Ferreira-Paiva

Elizabeth Regina Alfaro-Espinoza

Pablo de Souza Vieira Santana

et al.

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“…Time Stretching [15]: modifies the speed of an audio sample with a specific ratio while keeping the same pitch.…”

mentioning

confidence: 99%

Analysis of the methods and performances for data augmentation: Image, text and audio

Jin

2024

ACE

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With the rapid development in computation ability as well as machine learning scenarios, various artificial intelligence applications can be achieved in recent years. With this in mind, this study will explore the application of data augmentation in machine learning and deep learning. To be specific, this paper first introduces the background and research history of data augmentation and then discusses the research progress in recent years. The basic description of this study describes the definition, common methods, and evaluation metrics of data augmentation in detail. At the same time, three data augmentation models, AutoAugment, AugGPT, and SpecAugment++, are introduced respectively, including their principles, experimental results, as well as evaluation. Finally, according to the analysis, the limitations and prospects of the field are discussed and demonstrated, as well as summarize the main findings and research implications of the full paper. Overall, these results shed light on guiding further exploration of data augmentation.

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“…Time Stretching [15]: modifies the speed of an audio sample with a specific ratio while keeping the same pitch.…”

mentioning

confidence: 99%

Analysis of the methods and performances for data augmentation: Image, text and audio

Jin

2024

ACE

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Forroset: A Multipurpose Dataset of Brazilian Forró Music

Cited by 1 publication

References 15 publications

Analysis of the methods and performances for data augmentation: Image, text and audio

Analysis of the methods and performances for data augmentation: Image, text and audio

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