1. An Abstract Control Space for Communication of Sensory Expressive Intentions in Music Performance Canazza, S., De Poli, G., Roda, A., Vidolin, A. Presented by Aaron Yang

2. Path of Expressive Music ComposerScorePerformer Acoustic Signal Listener

3. Conceptualizing Expressive Intentions Categorical Categorical Dimensional Dimensional PerformanceWorm (Goebl 2002) Loudness and tempo

4. Understanding Musical Performance (Camurri et al., 2001) Layer 1 – Physical Signals: audio data Layer 1 – Physical Signals: audio data Layer 2 – Low-level features and statistical parameters Layer 2 – Low-level features and statistical parameters Layer 3 – Mid level features and maps Layer 3 – Mid level features and maps Layer 4 – Concepts and structures Layer 4 – Concepts and structures

5. The Test Mozart’s K 622 Concerto for Clarinet in A major Mozart’s K 622 Concerto for Clarinet in A major Performed: Performed: Light Light Heavy Heavy Soft Soft Hard Hard Bright Bright Dark Dark Natural Natural

6. The Analysis Double Factor Analysis Double Factor Analysis Matrix of replies and factor score Matrix of replies and factor score Multi-Dimensional Scaling (MDS) Multi-Dimensional Scaling (MDS) Cluster Analysis Cluster Analysis Space of Musical Expression Space of Musical Expression Robinson’s agreement index

7. Experiment 1 Performer plays the piece with the six adjectives in mind Performer plays the piece with the six adjectives in mind Performances are recorded Performances are recorded Listeners rate the performances on a scale based on the adjectives Listeners rate the performances on a scale based on the adjectives 2 groups- 2 groups- 12 post graduate from a music conservatory 12 post graduate from a music conservatory 12 with no musical training 12 with no musical training

8. Matrix of Euclidian distances

9. Multidimensional Scaling of adjectives

10. Factor Loadings

11. Factor Plot

12. Cluster Analysis

13. Experiment 2 – New adjectives nero (black), greve (oppressive), grave (serious), tetro(dismal), massiccio (massive), rigido (rigid), soffice(mellow), tenero (tender), dolce (sweet), aereo (airy), lieve(gentle), spumeggiante (effervescent), vaporoso (vaporous), fresco (fresh), brusco (abrupt), netto (sharp).

14. Experiment 2

15. Cluster Analysis

16. Human Computer Interfaces Graphic panel – user learns how to use it Graphic panel – user learns how to use it Multimodal – through movements and non-verbal communication. The interface determines what the human intention is. Multimodal – through movements and non-verbal communication. The interface determines what the human intention is.

17. Expressive Human-Computer Interaction Energy (x axis) Energy (x axis) Kinetics (y axis) Kinetics (y axis) Ktempo (z axis) Ktempo (z axis)

18. Once upon the time