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Predicting Jacob Collier's musical emotions through his piano playing
YouTube VideoModelling Emotional Expression in Music Using Interpretable and Transferable Perceptual Features
PDFTowards Explainable Music Emotion Recognition: The Route via Mid-level Features
PDFSongForm, Inc. | Remote Nov 2023 - Present
Bogren Digital | Remote May 2023 - Nov 2023
Johannes Kepler University Linz | Linz, Austria Jan 2023 - Dec 2023
Johannes Kepler University Linz | Linz, Austria May 2018 - Dec 2022
Honeywell Technology Solutions | Bangalore, India July 2015 - May 2018
Johannes Kepler University Linz | Linz, Austria May 2018 - Dec 2022
Indian Institute of Technology Kanpur (IIT-Kanpur) | Kanpur, India Jul 2010 - Jul 2015
DExter: Learning and controlling performance expression with diffusion models. [HTML] [PDF] [Demo] [Code]
H Zhang, S Chowdhury, CE Cancino-Chacón, J Liang, S Dixon, G Widmer (2024).
MDPI Applied Sciences, 14(15), 6543.
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings. [PDF]
S Chowdhury, G Widmer (2023).
Proceedings of the 15th Annual Meeting of the Forum for Information, Goa, India.
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance. [PDF]
SD Peter, S Chowdhury, CE Cancino-Chacón, G Widmer (2023)
Proceedings of the 15th Annual Meeting of the Forum for Information, Goa, India.
Decoding and Visualising Intended Emotion in an Expressive Piano Performance. [PDF] [Demo Video]
S Chowdhury, G Widmer (2022)
ISMIR. Late-Breaking Demo Session of the 23rd Int. Society for Music Information Retrieval Conf., Bengaluru, India
Modelling emotional expression in music using interpretable and transferable perceptual features. [PDF]
S Chowdhury (2022)
Ph. D. Thesis.
On perceived emotion in expressive piano performance: Further experimental evidence for the relevance of mid-level perceptual features.
S Chowdhury, G Widmer
arXiv preprint arXiv:2107.13231.
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities.
S Chowdhury, V Praher, G Widmer
Proceedings of the 18th Sound and Music Computing Conference, 246-252.
Towards explaining expressive qualities in piano recordings: Transfer of explanatory features via acoustic domain adaptation.
S Chowdhury, G Widmer
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and.
Receptive-field regularized CNNs for music classification and tagging.
K Koutini, H Eghbal-Zadeh, V Haunschmid, P Primus, S Chowdhury, …
arXiv preprint arXiv:2007.13503.
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game.
C Cancino-Chacón, S Peter, S Chowdhury, A Aljanaki, G Widmer
Proceedings of the 21st International Society for Music Information.
Monitoring industrial equipment using audio.
R Yelchuru, S Chowdhury, P Sampath
US Patent 10,475,468.
Emotion and theme recognition in music with frequency-aware RF-regularized CNNs.
K Koutini, S Chowdhury, V Haunschmid, H Eghbal-Zadeh, G Widmer
arXiv preprint arXiv:1911.05833.
Two-level Explanations in Music Emotion Recognition.
V Haunschmid, S Chowdhury, G Widmer
International Conference on Machine Learning (ICML), Machine Learning for.
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features.
S Chowdhury, A Vall, V Haunschmid, G Widmer
Proceedings of the 20th International Society for Music Information.
Music tempo estimation using sub-band synchrony.
S Chowdhury, T Guha, RM Hegde
Proceedings of Interspeech 2017, 3093-3096.
Musical Tempo Estimation from Audio using Sub-Band Synchrony.
S Chowdhury
INDIAN INSTITUTE OF TECHNOLOGY, KANPUR.