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What to Do with a Five-Track Woodwind Quintet

What to Do with a Five-Track Woodwind Quintet. James W. Beauchamp Mert Bay Univ. of Illinois at Urbana-Champaign jwbeauch@uiuc.edu mertbay@uiuc.edu. Interpretation of “ Better than the real thing ”. “ Different than the usual thing ”. Five Channel Recording Process.

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What to Do with a Five-Track Woodwind Quintet

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  1. What to Do with a Five-Track Woodwind Quintet James W. Beauchamp Mert Bay Univ. of Illinois at Urbana-Champaign jwbeauch@uiuc.edu mertbay@uiuc.edu

  2. Interpretation of “Better than the real thing” “Different than the usual thing”

  3. Five Channel Recording Process • Select composition: Albert J. Andraud woodwind quintet transcription of Beethoven’s Op. 18 No. 5 variations for string quartet. • Select players: UIUC woodwind quintet. • Initial recording in UIUC studio -- all five play together: flute, oboe, clarinet, horn, bassoon. • Second recording -- each instrument plays one at a time while listening to a mix of the other four. oboe alone: • Final editing done using an editing program (e.g., Cubase).

  4. Recording Session: All Five Players Individual Recording Equipment Setup

  5. Individual channel comparison • Original close-miked recording with crosstalk (other instruments in background). clarinet channel: • Overdub clarinet recording with complete isolation: • stop

  6. Why make a 5-channel recording? • A 5 discrete channel recording can be a lot of fun to listen to. • Removal of one channel affords the possibility for music-minus-one rehearsals. • More processing can be done on the individual channels. • Need it for automatic music transcription and instrument separation experiments.

  7. Demonstration • Discrete Five-Channel Recording flute oboe horn clarinet bassoon

  8. Individual track processing • Analysis phase • Resynthesis phase • Tempo change • Pitch shift • Timbre transformation

  9. Individual instrument Tones ff bassoon: Harmonic Spectrum Library STFT Analysis Cluster Analysis pitch Different pitches, dynamics Analysis Phase Short-time Fourier Analysis Cluster methods: 1) K-Means, 2) spectral centroid

  10. Pitch Tracking STFT Analysis Analysis Phase Individual Instrument Tones (RWC) Harmonic Spectrum Library STFT Analysis Cluster Analysis Short-time Fourier Analysis pitch dynamic Individual Instrument Track Time-varying Spectrum Harmonic Separation Time-varying Harmonics stop stop

  11. Harmonic Spectrum Library Bassoon spectral envelopes at F0 = 156 Hz

  12. Harmonic Spectrum Library Horn spectral envelopes at F0 = 139 Hz

  13. Harmonic Spectrum Library Clarinet spectral envelopes at F0 = 156 Hz

  14. Resynthesis Phase Single Track Harmonic File Non-parametric Fourier (Additive) Synthesis New Instrument Track Sound File Time-Varying Spectrum Synthesis Tempo Shift Pitch Shift

  15. Pitch Tracking Resynthesis Phase Single Track Harmonic File Non-parametric Fourier (Additive) Synthesis New Instrument Track Sound File Time-Varying Spectrum Synthesis Timbre Change Tempo Shift Pitch Shift Harmonic Spectrum Library Spectrum Matching and Interpolation Instrument Selection

  16. Demonstrations • Original track • Tempo shift demonstration • Pitch shift demonstration • Timbre change demonstration: bassoon-to-horn stop

  17. Questions?

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