The CompMusic project has a significant participation to the 18th International Society for Music Information Retrieval Conference (ISMIR 2017) that takes place in Suzhou, China, from October 21st to the 27th 2017. ISMIR is the world’s leading research forum on processing, searching, organizing and accessing music-related data. CompMusic's contributions include the presentations of 10 papers in the main program, 2 papers in the satellite workshop DLFM 2017, and 1 paper in the satellite workshop CSMT 2017.
Here are the papers presented as part of the main program:
- Ganguli, K. K., & Rao, P. "Towards Computational Modeling of the Ungrammatical in a Raga Performance."
Ross, J. Ch., Mishra, A., Ganguli, K. K., Bhattacharyya, P., and Rao, P. "Identifying Raga Similarity Through embeddings learned from Compositions’ notation."
Sebastian J., and Murthy, H. “Onset Detection in Composition Items of Carnatic Music."
Viraraghavan, V., Aravind R., and Murthy, H. “A Statistical Analysis of Gamakas in Carnatic Music.”
- Gong, R., Pons J., & Serra X. “Audio to Score Matching by Combining Phonetic and Duration Information.”
- Caro Repetto, R., & Serra X. “A collection of music scores for corpus based jingju singing research.”
- Srinivasamurthy, A., Holzapfel A., & Serra X. “Informed Automatic Meter Analysis of Music Recordings.”
- Dzhambazov, G., Holzapfel A., Srinivasamurthy A., & Serra X. “Metrical-accent Aware Vocal Onset Detection in Polyphonic Audio.”
- Pons, J., Gong R., & Serra X. “Score-informed Syllable Segmentation for A Cappella Singing Voice with Convolutional Neural Networks.”
- Zhang, S., Caro Repetto R., & Serra X. “Understanding the expressive functions of jingju metrical patterns through lyrics text mining.”
Here are the papers presented at the 4th International Digital Libraries for Musicology Workshop (DLFM 2017):
- Gong, R., Caro Repetto R., & Serra X. “Creating an A Cappella Singing Audio Datasetfor Automatic Jingju Singing Evaluation Research.”
- Caro Repetto, R., Zhang S., & Serra X. “Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores.”
Here is the paper presented at the China Conference on Sound and Music Technology (CSMT 2017):