2025:RenCon Results
Contents
2025:RenCon Results
Preliminary (Audition) Round Results
Evaluation Methodology
The preliminary round was evaluated through an online listening test with 25 expert evaluators. The evaluation used a weighted voting system where participants self-rated their expertise level from 1-5 stars, with responses weighted accordingly.
Participant Demographics
Our evaluation panel consisted of highly qualified judges:
Expertise Distribution:
- Expert evaluators (5 stars): 7 participants (29.2%)
- High confidence (4 stars): 5 participants (20.8%)
- Moderate confidence (3 stars): 10 participants (41.7%)
- Lower confidence (1-2 stars): 2 participants (8.4%)
- Average expertise weight: 3.67/5.0
Professional Background:
- Music researchers: 12 (54.5%)
- Music technologists: 10 (45.5%)
- Active performers: 8 (36.4%)
- Conservatory students: 6 (27.3%)
- Music lovers: 15 (68.2%)
- Concert-goers: 8 (36.4%)
Musical Experience:
- Strong representation of classical music expertise
- Diverse musical preferences spanning classical, jazz, pop, and rock
- Substantial piano experience among evaluators
- Mix of academic researchers and practicing musicians
System Rankings
The following table shows the final rankings based on weighted average scores from the preliminary round evaluation:
| Rank | Anonymous Name | Real System Name | Authors/Institution | Weighted Score | Simple Average | Responses |
|---|---|---|---|---|---|---|
| 1 | EmberSky | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
| 2 | AzureThunder | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
| 3 | CrimsonDawn | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
| 4 | SilverWave | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
| 5 | VelvetStorm | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
| 6 | GoldenMist | [System Name] | [Author Names] | [X.XXX]/5.0 | [X.XX]/5.0 | 24 |
Note: Complete rankings and system details will be updated following the live contest and final results announcement.
Qualitative Feedback
Evaluators provided extensive qualitative feedback on the systems' performances:
Common Positive Attributes:
- Natural expressiveness and human-like phrasing
- Appropriate tempo variations and rubato
- Musical sensitivity to harmonic structure
- Dynamic expression and articulation
Areas for Improvement:
- Consistency across different musical styles
- Handling of complex rhythmic patterns
- Balance between technical accuracy and musical expression
Live Contest Results
[To be updated following the live contest on September 25, 2025]
Surprise Piece
- Title: [To be announced]
- Composer: [To be announced]
- Duration: [X minutes]
- Style: [Musical characteristics]
Live Performance Rankings
[Results pending live audience voting]
Winner Announcement
[To be announced at the conclusion of ISMIR 2025]
