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
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 |
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