Difference between revisions of "2007:MIREX2007 Poster List"
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# Youngmoo Kim and Dan Perelstein: "Cover Song Detection Using Chroma and HMMs" (Audio Cover Song) | # Youngmoo Kim and Dan Perelstein: "Cover Song Detection Using Chroma and HMMs" (Audio Cover Song) | ||
# Youngmoo Kim and Lloyd Emelle: "An Online Game for Collaborative Continuous Music Mood Labeling" (Audio Mood) | # Youngmoo Kim and Lloyd Emelle: "An Online Game for Collaborative Continuous Music Mood Labeling" (Audio Mood) | ||
+ | # Xiao Wu and Ming Li: "QBSH System based on three-level melody representation" (QBSH) |
Latest revision as of 08:09, 22 September 2007
MIREX 2007 Poster Session Planning List
The MIREX 2007 Poster Session will be held 26 September: 1530-1630, right after the MIREX 2007 Plenary Meeting.
Our hosts in Vienna would like to get some sense of the number of posters so they can set up the room. Please add you name and the task(s) dealt with in you poster. We had many groups/individuals submit across tasks. You can choose to create one A0 poster bringing all your data together or can split up your data across, say, two posters if you are an individual (so you can stand next to both). I would like to encourage task leaders, if they have time (which will be tight) to create a task overview poster if possible. Task leaders, please contact me at jdownie@uiuc.edu about task poster options.
Add your name here, once for each poster along with "title of some sort" and (Task(s) covered)
- IMIRSEL: MIREX 2007 Overview (ALL Tasks)
- IMIRSEL: Quick and Dirty M2K Submissions (Audio Genre, Audio Composer, Audio Mood, Audio Artist)
- IMIRSEL: MultiF0 Estimation & Tracking Overview
- Ruohua Zhou, Joshua Reiss, Queen Mary University of London: (Audio Onset Detection)
- Ruohua Zhou, Joshua Reiss, Queen Mary University of London: (Multiple Fundamental Frequency Estimation)
- Dan Stowell, Mark Plumbley, Queen Mary University of London: Adaptive Whitening for Better Onset Detection (Audio Onset Detection)
- Jesper H. Jensen, Dan P.W. Ellis, Mads G. Christensen, S├╕ren Holdt Jensen: A chroma-based tempo-insensitive distance measure for cover song identification (Audio Cover Song)
- A. L. Uitdenbogerd, RMIT: "N-gram pattern matching and dynamic programming for symbolic melody search" (SMS)
- Cyril Laurier and Perfecto Herrera, MTG UPF: "Audio Mood Classification using SVM" (Audio Mood)
- Joan Serrà and Emilia Gómez, MTG UPF: "A cover song identification system based on sequences of tonal descriptors" (Audio Cover Song)
- Carlos G├│mez: An analysis of the Mongeau-Sankoff measure for music retrieval (Symbolic Similarity, QBSH)
- Klaas Bosteels, Etienne Kerre: Combining audio similarity measures using generalizations of logical connectives (AMS)
- Dan Ellis, Courtenay Cotton: Cover Song Identification by Beat Chroma Cross Correlation (Audio Cover Song)
- Thomas Lidy, Andreas Rauber, Antonio Pertusa and José Manuel Iñesta: "Improving genre classification by combination of audio and symbolic descriptors using a transcription system" (Audio Genre, Audio Composer, Audio Mood, Audio Artist, Audio Similarity)
- Antonio Pertusa, José Manuel Iñesta: "Multiple f0 estimation based on spectral pattern loudness and smoothness" (Multiple Fundamental Frequency Estimation)
- George Tzanetakis/Marsyas: "Fast and simple Marsyas submissions" (Audio Genre, Composer, Mood, Artist Classification, Audio Similarity)
- Luke Barrington, Douglas Turnbull, David Torres, Gert Lanckriet "Semantic Similarity for Music Retrieval" (Audio Similarity)
- Michael Mandel and Dan Ellis, "LabROSA's MIREX 2007 submissions for audio music similarity and classification" (Audio Similarity, Audio Artist, Composer, Genre, Mood ID)
- Arshia Cont, Diemo Schwarz, Norbert Schnell, Christopher Raphael: Evaluation of Real-Time Audio-to-Score Alignment (Score Following)
- Enric Guaus and Perfecto Herrera, MTG UPF: "Near to a plain audio genre classification" (Audio genre)
- Youngmoo Kim and Dan Perelstein: "Cover Song Detection Using Chroma and HMMs" (Audio Cover Song)
- Youngmoo Kim and Lloyd Emelle: "An Online Game for Collaborative Continuous Music Mood Labeling" (Audio Mood)
- Xiao Wu and Ming Li: "QBSH System based on three-level melody representation" (QBSH)