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          <dc:title>Human Computer Music Performance</dc:title>
          <dc:creator>Dannenberg, Roger B.</dc:creator>
          <dc:subject>Interactive performance</dc:subject>
          <dc:subject>music processing</dc:subject>
          <dc:subject>music signals</dc:subject>
          <dc:subject>music analysis</dc:subject>
          <dc:subject>music synthesis</dc:subject>
          <dc:subject>audio</dc:subject>
          <dc:subject>score</dc:subject>
          <dc:description>Human Computer Music Performance (HCMP) is the study of music performance by live human performers and real-time computer-based performers. One goal of HCMP is to create a highly autonomous artificial performer that can fill the role of a human, especially in a popular music setting. This will require advances in automated music listening and understanding, new representations for music, techniques for music synchronization, real-time human-computer communication, music generation, sound synthesis, and sound diffusion. Thus, HCMP is an ideal framework to motivate and integrate advanced music research. In addition, HCMP has the potential to benefit millions of practicing musicians, both amateurs and professionals alike. The vision of HCMP, the problems that must be solved, and some recent progress are presented.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Roger B. Dannenberg</dc:contributor>
          <dc:date>2012</dc:date>
          <dc:relation>Is Part Of Dagstuhl Follow-Ups, Volume 3, Multimodal Music Processing (2012)</dc:relation>
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          <dc:language>eng</dc:language>
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