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Reduce vibrato across all instruments to 0.001

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Strings, cello, trumpet, clarinet, oboe all cut to 0.001 depth.
Much subtler in ensemble context.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kenneth Reitz
2026-03-27 11:29:48 -04:00
parent 6c411e43f8
commit ae04fa60cc
1 changed files with 5 additions and 5 deletions
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pytheory/play.py
+5 -5
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@@ -270,7 +270,7 @@ def strings_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
# Delayed vibrato: ramps in over ~200ms, like a real bow
vib_rate = 5.2 + rng.uniform(-0.3, 0.3) # slight randomness per note
vib_depth = hz * 0.003 # ~5 cents
vib_depth = hz * 0.001 # subtle
vib_onset = numpy.clip(t / 0.2, 0.0, 1.0) # ramp over 200ms
vibrato = vib_depth * vib_onset * numpy.sin(2 * numpy.pi * vib_rate * t)
@@ -494,7 +494,7 @@ def trumpet_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
# Vibrato
vib_onset = numpy.clip(t / 0.15, 0.0, 1.0)
vib = hz * 0.002 * vib_onset * numpy.sin(2 * numpy.pi * 5.5 * t)
vib = hz * 0.001 * vib_onset * numpy.sin(2 * numpy.pi * 5.5 * t)
# Lip buzz — additive with brass spectral shape
# Trumpet has strong even AND odd harmonics (unlike clarinet)
@@ -536,7 +536,7 @@ def clarinet_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
rng = numpy.random.default_rng(int(hz * 100) % 2**31)
vib_onset = numpy.clip(t / 0.3, 0.0, 1.0)
vib = hz * 0.002 * vib_onset * numpy.sin(2 * numpy.pi * 4.5 * t)
vib = hz * 0.001 * vib_onset * numpy.sin(2 * numpy.pi * 4.5 * t)
# Cylindrical bore: odd harmonics dominate
wave = numpy.zeros(n_samples, dtype=numpy.float64)
@@ -605,7 +605,7 @@ def oboe_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
rng = numpy.random.default_rng(int(hz * 100) % 2**31)
vib_onset = numpy.clip(t / 0.2, 0.0, 1.0)
vib = hz * 0.002 * vib_onset * numpy.sin(2 * numpy.pi * 5.0 * t)
vib = hz * 0.001 * vib_onset * numpy.sin(2 * numpy.pi * 5.0 * t)
wave = numpy.zeros(n_samples, dtype=numpy.float64)
n_harmonics = min(18, int((SAMPLE_RATE / 2) / hz))
@@ -681,7 +681,7 @@ def cello_wave(hz, peak=SAMPLE_PEAK, n_samples=SAMPLE_RATE):
# Delayed vibrato
vib_rate = 5.0 + rng.uniform(-0.3, 0.3)
vib_depth = hz * 0.002
vib_depth = hz * 0.001
vib_onset = numpy.clip(t / 0.25, 0.0, 1.0)
vibrato = vib_depth * vib_onset * numpy.sin(2 * numpy.pi * vib_rate * t)