On 6-11 June, several C4DM researchers will participate at the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021). ICASSP is the leading conference in the field of signal processing and the flagship event of the IEEE Signal Processing Society.
As in previous years, the Centre for Digital Music will have a strong presence at the conference, both in terms of numbers and overall impact. The below papers presented at ICASSP 2021 are authored or co-authored by C4DM members (all papers are publicly available until 14th June 2021):
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Structure-Aware Audio-to-Score Alignment Using Progressively Dilated Convolutional Neural Networks, by Ruchit Agrawal, Daniel Wolff, Simon Dixon
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Low Resource Audio-To-Lyrics Alignment from Polyphonic Music Recordings, by Emir Demirel, Sven Ahlbäck, Simon Dixon
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Joint multi-pitch detection and score transcription for polyphonic piano music, by Lele Liu, Veronica Morfi, Emmanouil Benetos
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A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network, by Thi Ngoc Tho Nguyen, Khanh Nguyen, Huy Phan, Lam Pham, Kenneth Ooi, Douglas L. Jones, Woon-Seng Gan
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Multi-View Audio And Music Classification, by Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
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Self-Attention Generative Adversarial Network for Speech Enhancement, by Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
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Differentiable Signal Processing With Black-Box Audio Effects, by Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan
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Prototypical networks for domain adaptation in acoustic scene classification, by Shubhr Singh, Helen L. Bear, Emmanouil Benetos
See you all at ICASSP!