The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
TUT database for acoustic scene classification and sound event detection
Open accessAbstract
We introduce TUT Acoustic Scenes 2016 database for environmental sound research, consisting of binaural recordings from 15 different acoustic environments. A subset of this database, called TUT Sound Events 2016, contains annotations for individual sound events, specifically created for sound event detection. TUT Sound Events 2016 consists of residential area and home environments, and is manually annotated to mark onset, offset and label of sound events. In this paper we present the recording and annotation procedure, the database content, a recommended cross-validation setup and performance of supervised acoustic scene classification system and event detection baseline system using mel frequency cepstral coefficients and Gaussian mixture models. The database is publicly released to provide support for algorithm development and common ground for comparison of different techniques.
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Cites
Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement
Forman, G., & Scholz, M. (2010) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1882471.1882479 · Cited by 368
Cited by
Audio Set: An ontology and human-labeled dataset for audio events
Gemmeke, J. F., Ellis, D. P. W., Freedman, D., Jansen, A., Lawrence, W., Moore, R. C., Plakal, M., & Ritter, M. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2017.7952261 · Cited by 3,134
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Kong, Q., Cao, Y., Iqbal, T., Wang, Y., Wang, W., & Plumbley, M. D. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2020.3030497 · Cited by 1,235
Machine learning in acoustics: Theory and applications
Bianco, M. J., Gerstoft, P., Traer, J., Ozanich, E., Roch, M. A., Gannot, S., & Deledalle, C.-A. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5133944 · Cited by 609
Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
Mesaros, A., Heittola, T., Benetos, E., Foster, P., Lagrange, M., Virtanen, T., & Plumbley, M. D. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2017.2778423 · Cited by 298
Self-citationSelf-supervised learning for videos: A survey
Schiappa, M. C., Rawat, Y. S., & Shah, M. (2023) · ACM Computing Surveys · doi:10.1145/3577925 · Cited by 155
Metadata
- Authors
- Mesaros, A., Heittola, T., & Virtanen, T.
- Venue
- 2016 24th European Signal Processing Conference (EUSIPCO)
- Publisher
- IEEE
- Published
- 2016-08
- Pages
- 1128-1132
- OpenAlex
- W2566935005
- Cited by
- 517
- References
- 1
- FWCI
- 62.90
- Type
- conference paper
- Language
- en
- Open access
- green
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