C4DM at ISMIR 2022
On 4-8 December 2022, several C4DM researchers will participate at the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022). ISMIR is the leading conference in the field of music informatics, and is currently the top-cited publication for Music & Musicology (source: Google Scholar). This year ISMIR will take place in Bengaluru, India, and online.
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.
In the Technical Programme, the following papers are authored/co-authored by C4DM members:
- Contrastive Audio-Language Learning for Music (Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas)
- ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance (Huan Zhang, Jingjing Tang, Syed Rafee, Simon Dixon, György Fazekas)
- "More than words": Linking Music Preferences and Moral Values through Lyrics (Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis)
- EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation (Saurjya Sarkar, Emmanouil Benetos, Mark Sandler)
- Performance MIDI-to-score conversion by neural beat tracking (Lele Liu, Qiuqiang Kong, Veronica Morfi, Emmanouil Benetos) Best paper award nominee
- Emotion-driven Harmonisation And Tempo Arrangement of Melodies Using Transfer Learning (Takuya Takahashi, Mathieu Barthet)
- DDX7: Differentiable FM Synthesis of Musical Instrument Sounds (Franco Caspe, Andrew McPherson, Mark Sandler)
- How Music features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of CSMT Data Challenge 2020 (Yuqiang Li, Shengchen Li, George Fazekas)
- Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model (Yixiao Zhang, Junyan Jiang, Gus Xia, Simon Dixon) Best paper award nominee
On Tutorials, C4DM PhD students Christian Steinmetz, Soumya Vanka, and Gary Bromham, along with C4DM PhD alumnus Marco Martínez, will be giving a tutorial on "Deep learning for automatic mixing".
On Special Sessions:
- C4DM MSc by Research student and Spotify Research Engineer Shahar Elisha will be giving a talk on "Research on the Industrial Lane" as part of the WiMIR Plenary Session
- C4DM PhD student Lele Liu is joining as panellist the special session on PhD in MIR: Challenges and Opportunities.
On the Late-breaking/Demo (LBD) session, the following extended abstracts are authored/co-authored by C4DM members:
- MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning (Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Zhijie Hu, Haoyu He, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Jie Fu)
- Song Describer: a Platform for Collecting Textual Descriptions of Music Recordings (Ilaria Manco, Benno Weck, Philip Tovstogan, Minz Won, Dmitry Bogdanov)
See you at ISMIR!
(30th November 2022)
