UrbanSound8K-JAMS

JAMS annotation files for the original and augmented UrbanSound8K dataset, provided as supplementary material to:

J. Salamon and J. P. Bello, "Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification," submitted, 2016.

Description

This repository contains annotations in JAMS format [1,2] for the UrbanSound8k dataset [3]. It also contains the extended JAMS files returned by the MUDA audio data augmentation library [4], which contain the deformation parameters utilized to generate the augmented UrbanSound8K training set used in [5].

The audio files used for the background noise augmentations are located in the background_noise folder.

References

1. E. J. Humphrey, J. Salamon, O. Nieto, J. Forsyth, R. Bittner, and J. P. Bello, "JAMS: A JSON Annotated Music Specification for Reproducible MIR Research," in 15th Int. Soc. for Music Info. Retrieval Conf., Taipei, Taiwan, Oct. 2014, pp. 591–596.
2. B. McFee, E. J. Humphrey, O. Nieto, J. Salamon, R. Bittner, J. Forsyth, and J. P. Bello, "Pump up the JAMS: V0.2 and beyond," Music and Audio Research Laboratory, New York University, Tech. Rep., Oct. 2015.
3. J. Salamon, C. Jacoby, and J.P.Bello, "A Dataset and Taxonomy for Urban Sound Research," in 22nd ACM International Conference on Multimedia (ACM-MM'14), Orlando, FL, USA, Nov. 2014, pp. 1041–1044.
4. B. McFee, E. Humphrey, and J. Bello, "A Software Framework for Musical Data Augmentation," in 16th Int. Soc. for Music Info. Retrieval Conf., Malaga, Spain, Oct. 2015, pp. 248–254.
5. J. Salamon and J. P. Bello, "Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification", submitted, 2016.