MML 2017
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MML 2017
October 6, 2017


10:00-10:05 Welcome and opening remarks
10:05-11:20 Oral Session 1: Performance Analysis

Chair: Darrell Conklin

Fabio Jose Muneratti Ortega, Sergio Ivan Giraldo and Rafael Ramirez
Phrase-Level modeling of expression in violin performances

Carlos Eduardo Cancino-Chacón, Maarten Grachten, David Sears and Gerhard Widmer
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music

Sergio Giraldo, Rafael Ramirez, George Waddell and Aaron Williamon
A Real-time Feedback Learning Tool to Visualize Sound Quality in Violin Performances

11:20-11:40 Coffee break

11:40-13:00 Oral Session 2: Multimodality
Chair: Rafael Ramirez

Javier Sober.Mira, Jorge Calvo-Zaragoza, David Rizo and Jose Manuel Iñesta 
Multimodal Recognition for Music Document Transcription

Alexander Hepburn, Ryan McConville and Raúl Santos-Rodríguez
Album Cover Generation from Genre Tags

Héctor Martel and Marius Miron
Data augmentation for deep learning source separation of HipHop songs 

13:00-13:40 Poster Craze
Chair: Jose Manuel Iñesta

María Hontanilla, Carlos Pérez-Sancho and Jose M. Iñesta
Music style recognition with language models - beyond statistical results

Marc Siquier, Sergio Giraldo and Rafael Ramírez
Computational modelling of expressive music performance in hexaphonic guitar

Konstantinos Trochidis, Carlos Guedes and Akshay Anantapadmanabhan
A data-driven approach for Carnatic percussion music generation

Erica Volta, Paolo Alborno and Gualtiero Volpe
Informing bowing and violin learning using movement analysis and machine learning

Kerstin Neubarth and Darrell Conklin
Discovery of statistically interesting global-feature patterns

Jimmy Jarjoura, Sergio Giraldo and Rafael Ramirez
A multimodal machine learning EEG-based approach for music-emotion recognition

Angel Blanco and Rafael Ramírez
Neural Correlates of bow learning technique

13:40-14:40 Lunch

14:40-16:20 Poster Session and networking

16:20-16:40 Coffee break

16:40-17:30 Oral Session 3: Statistical models and prediction
Chair: Rafael Ramirez

Darrell Conklin
Modelling and sampling jazz chord sequences

Fabian Jetzinger, Florian Huemer and Markus Schedl
Towards Predicting the Popularity of Music Artists

17:30 Closing remarks

19:30 Concert
Programme
Introduction: Rafael Ramirez
1. Piece: Generation No. 1. Author: Darrell Conklin, interpreters: Sergio Giraldo (Guitar), David Dalmazo (Guitar).
2. Piece: Generation No. 2. Author: Darrell Conklin, interpreters: Sergio Giraldo (Guitar), Zacharias Vamvakousis (Accordion).
3. Piece: Generation No. 3. Author: Darrell Conklin, interpreters: Sergio Giraldo (Guitar), Pedro Ponce de León (sax)
4. TELMI Exercise No. 1: bow tracking. Author: Zacharias Vambakuosis, interpreter: Alfonso Perez (Violin)
5. TELMI Exercise No. 2: tone quality. Author: Sergio Giraldo, interpreter: Alfonso Perez (Violin).
6. TELMI Exercise No. 3: bow force/velocity. Author: Alfonso Perez, interpreter: Alfonso Perez.
7. Concerto for 2 violins (TELMI RT demo). Author: J. S. Bach, interpreter: Rafael Ramirez
8. Mañana de Carnaval (Dynamics modelling). Author: A. C. Jobim, interpreters: Rafael Ramirez (violin), Zac Vamvakuosis (Accordion).
9. Invention for extended guitar. Author: David Dalmazo, interpreters: David Dalmazo (guitar)
10. Invention for extended for air violin. Author: David Dalmazo, interpreters: David Dalmazo (guitar), Rafael Ramirez (violin).
11. Moliendo Café. (popular). Interpreters: Jam Session



Proceedings
mml17proceedings.pdf
File Size: 6519 kb
File Type: pdf
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