The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
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Cites
Data Mining: Practical Machine Learning Tools and Techniques
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Opensmile: the munich versatile and fast open-source audio feature extractor
Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874246 · Cited by 2,642
Self-citationYoung, S. J., Jansen, J., Odell, J. J., Ollason, D., & Woodland, P. (1995) · Cited by 1,427
Using uh and um in spontaneous speaking
Clark, H. (2002) · Cognition · doi:10.1016/s0010-0277(02)00017-3 · Cited by 1,235
(2017) · Cambridge University Press eBooks · doi:10.1017/9781316676202 · Cited by 763
Schuller, B., Batliner, A., Steidl, S., & Seppi, D. (2011) · Speech Communication · doi:10.1016/j.specom.2011.01.011 · Cited by 758
Self-citationProsody in autism spectrum disorders: a critical review
McCann, J., & Peppé, S. (2003) · International Journal of Language & Communication Disorders · doi:10.1080/1368282031000154204 · Cited by 444
Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception.
Bänziger, T., Mortillaro, M., & Scherer, K. R. (2012) · Emotion · doi:10.1037/a0025827 · Cited by 439
Self-citationThe acoustic features of human laughter
Bachorowski, J.-A., Smoski, M. J., & Owren, M. J. (2001) · The Journal of the Acoustical Society of America · doi:10.1121/1.1391244 · Cited by 302
Cited by
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Eyben, F., Scherer, K. R., Schuller, B. W., Sundberg, J., Andre, E., Busso, C., Devillers, L. Y., Epps, J., Laukka, P., Narayanan, S. S., et al. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2457417 · Cited by 1,818
Self-citationAST: Audio Spectrogram Transformer
Gong, Y., Chung, Y.-A., & Glass, J. (2021) · Interspeech 2021 · doi:10.21437/interspeech.2021-698 · Cited by 1,159
Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
Trigeorgis, G., Ringeval, F., Brueckner, R., Marchi, E., Nicolaou, M. A., Schuller, B., & Zafeiriou, S. (2016) · 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2016.7472669 · Cited by 904
Self-citationEnd-to-End Multimodal Emotion Recognition using Deep Neural Networks
Tzirakis, P., Trigeorgis, G., Nicolaou, M. A., Schuller, B., & Zafeiriou, S. (2017) · arXiv · doi:10.48550/arxiv.1704.08619 · Cited by 752
Self-citationAVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge
Valstar, M., Gratch, J., Schuller, B., Ringeval, F., Lalanne, D., Torres Torres, M., Scherer, S., Stratou, G., Cowie, R., & Pantic, M. (2016) · Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge · doi:10.1145/2988257.2988258 · Cited by 503
Self-citation
Metadata
- Authors
- Schuller, B., Steidl, S., Batliner, A., Vinciarelli, A., Scherer, K., Ringeval, F., Chetouani, M., Weninger, F., Eyben, F., Marchi, E., Mortillaro, M., Salamin, H., Polychroniou, A., Valente, F., & Kim, S.
- Venue
- Interspeech 2013
- Publisher
- ISCA
- Published
- 2013-08-25
- Pages
- 148-152
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2144005487
- Cited by
- 731
- References
- 26
- FWCI
- 76.75
- Type
- conference paper
- Language
- en
- Open access
- green
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- Schuller, B., Steidl, S., Batliner, A., Vinciarelli, A., Scherer, K., Ringeval, F., Chetouani, M., Weninger, F., Eyben, F., Marchi, E., Mortillaro, M., Salamin, H., Polychroniou, A., Valente, F., & Kim, S. (2013). The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism. Interspeech 2013. https://doi.org/10.21437/interspeech.2013-56
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
