Real-Time Chord Recognition for Live Performance

نویسندگان

  • Adam M. Stark
  • Mark D. Plumbley
چکیده

This paper describes work aimed at creating an efficient, real-time, robust and high performance chord recognition system for use on a single instrument in a live performance context. An improved chroma calculation method is combined with a classification technique based on masking out expected note positions in the chromagram and minimising the residual energy. We demonstrate that our approach can be used to classify a wide range of chords, in real-time, on a frame by frame basis. We present these analysis techniques as externals for Max/MSP.

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تاریخ انتشار 2009