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soundClass

Sound Classification Using Convolutional Neural Networks

Provides an all-in-one solution for automatic classification of sound events using convolutional neural networks (CNN). The main purpose is to provide a sound classification workflow, from annotating sound events in recordings to training and automating model usage in real-life situations. Using the package requires a pre-compiled collection of recordings with sound events of interest and it can be employed for: 1) Annotation: create a database of annotated recordings, 2) Training: prepare train data from annotated recordings and fit CNN models, 3) Classification: automate the use of the fitted model for classifying new recordings. By using automatic feature selection and a user-friendly GUI for managing data and training/deploying models, this package is intended to be used by a broad audience as it does not require specific expertise in statistics, programming or sound analysis. Please refer to the vignette for further information. Gibb, R., et al. (2019) <doi:10.1111/2041-210X.13101> Mac Aodha, O., et al. (2018) <doi:10.1371/journal.pcbi.1005995> Stowell, D., et al. (2019) <doi:10.1111/2041-210X.13103> LeCun, Y., et al. (2012) <doi:10.1007/978-3-642-35289-8_3>.

Versions across snapshots

VersionRepositoryFileSize
0.0.9.2 rolling linux/jammy R-4.5 soundClass_0.0.9.2.tar.gz 131.9 KiB
0.0.9.2 rolling linux/noble R-4.5 soundClass_0.0.9.2.tar.gz 131.8 KiB
0.0.9.2 rolling source/ R- soundClass_0.0.9.2.tar.gz 45.3 KiB
0.0.9.2 latest linux/jammy R-4.5 soundClass_0.0.9.2.tar.gz 131.9 KiB
0.0.9.2 latest linux/noble R-4.5 soundClass_0.0.9.2.tar.gz 131.8 KiB
0.0.9.2 latest source/ R- soundClass_0.0.9.2.tar.gz 45.3 KiB
0.0.9.2 2026-04-26 source/ R- soundClass_0.0.9.2.tar.gz 45.3 KiB
0.0.9.2 2026-04-23 source/ R- soundClass_0.0.9.2.tar.gz 45.3 KiB
0.0.9.2 2026-04-09 windows/windows R-4.5 soundClass_0.0.9.2.zip 136.9 KiB
0.0.9.2 2025-04-20 source/ R- soundClass_0.0.9.2.tar.gz 45.3 KiB

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