Program

The MIRUM workshop is located at Nara Prefectural New Public Hall, Conference Room 3.

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Session 1: 09:00 - 10.15 h
Session chair: Takuya Fujishima
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9:00 - 9:05 h
OPENING REMARKS
Cynthia Liem

9:05 - 9:25 h
Fast Intra-Collection Audio Matching
Verena Thomas, Sebastian Ewert and Michael Clausen

9:30 - 9:50 h
An Analysis of the GTZAN Music Genre Dataset
Bob Sturm

9:55 - 10.15 h
Building a Personalized Audio Equalizer Interface with Transfer Learning and Active Learning
Bryan Pardo, David Little and Darren Gergle

-- Coffee break: 10:15 - 10.45 h --

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Session 2: 10:45 - 12:20 h
Session chair: Cynthia Liem
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10:45 - 11:05 h
Knowledge-based Music Retrieval for Places of Interest
Marius Kaminskas, Ignacio Fernández-Tobías, Iván Cantador and Francesco Ricci

11:10 - 11:30 h
Learning and Extraction of Violin Instrumental Controls from Audio Signal
Alfonso Perez Carrillo and Marcelo M. Wanderley

11:35 - 11:55 h
Inferring Personal Traits from Music Listening History
Jenyu Liu and Yi-Hsuan Yang

12:00 - 12:20 h
Who Influence the Music Tastes of Adolescents? A Study on Interpersonal Influence in Social Networks
Audrey Laplante

12:20 - 12:35 h
CSA HIGHLIGHT
Roadmap for Music Information ReSearch (MIReS)
Geoffroy Peeters

-- Lunch break: 12:35 - 13.30 h --

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Session 3: 13:30 - 15.15 h
Session chair: Steve Tjoa
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13:30 - 14:30 h
KEYNOTE ADDRESS
When Music, Information Technology, and Medicine Meet
Ye Wang

14:30 - 14:50 h
Perceptual Tempo Estimation using GMM Regression
Geoffroy Peeters and Joachim Flocon-Cholet

14:55 - 15:15 h
Novelty Measures as Cues for Temporal Salience in Audio Similarity
Mark Cartwright and Bryan Pardo

-- Coffee break: 15:15 - 15.45 h --

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Session 4: 15:45 - 17.00 h
Session chair: Masataka Goto
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15:45 - 16:05 h
Personalized Music Emotion Classification via Active Learning
Dan Su and Pascale Fung

16:10 - 16:30 h
Exploring the Relationship between Categorical and Dimensional Emotion Semantics of Music
Ju-Chiang Wang, Yi-Hsuan Yang, Kaichun Chang, Hsin-Min Wang and Shyh-Kang Jeng

16:35 - 16:55 h
Two Systems for Automatic Music Genre Recognition: What Are They Really Recognizing?
Bob Sturm

16:55 - 17:00 h
CLOSING REMARKS
Steve Tjoa

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