The MTG 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. MTG's main contributions are the presentations of 11 papers in the main program, 2 papers in the satellite workshop DLFM 2017, and 1 paper in the satellite workshop CSMT 2017. Also, at the conference, Emilia Gómez will become the President of ISMIR!!!

Here are the papers presented as part of the main program:

• Miron, M., Janer J., & Gómez E.  “Monaural score-informed source separation for classical music using convolutional neural networks.” 
• 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.”
• Oramas, S., Nieto O., Barbieri F., & Serra X. “Multi-label Music Genre Classification from Audio, Text and Images Using Deep Features.”
• Bogdanov, D., & Serra, X. “Quantifying Music Trends and Facts Using Editorial Metadata from the Discogs Database.”
• Fonseca, E., Pons, J., Favory, X., Font, F., Bogdanov, D., Ferraro, A., Oramas, S., Porter, A., & Serra, X. “Freesound Datasets: A Platform for the Creation of Open Audio Datasets.”
• Salamon, J., Bittner R., Bonada J., Bosch J. J., Gómez E., & Bello J. P. "An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets."

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):

• Gong, R. & Serra X. “Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training.”