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Feature selection for content-based, time-varying musical emotion regression
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Philadelphia, PA
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Prediction of time-varying musical mood distributions from audio
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Utrecht, Netherlands
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Prediction of time-varying musical mood distributions using Kalman filtering
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Washinton, D.C
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E. M. Schmidt and Y. E. Kim, "Prediction of time-varying musical mood distributions using Kalman filtering, " in IEEE ICMLA, Washinton, D.C., 2010.
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Prediction of the distribution of perceived music emotions using discrete samples
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Moodswings: A collaborative game for music mood label collection
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Philadelphia, PA
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Y. E. Kim, E. Schmidt, and L. Emelle, "Moodswings: A collaborative game for music mood label collection, " in ISMIR, Philadelphia, PA, 2008.
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A comparative study of collaborative vs. Traditional annotation methods
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Miami, Florida
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Music type classification by spectral contrast feature
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Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
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