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https://github.com/kevinveenbirkenbach/computer-playbook.git
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124 lines
4.9 KiB
Python
124 lines
4.9 KiB
Python
import numpy as np
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import simpleaudio as sa
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class Sound:
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"""
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Sound effects for the application with enhanced complexity.
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Each sound uses at least 6 distinct tones and lasts no more than max_length seconds,
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except the intro sound which is a detailed 26-second Berlin techno-style build-up, 12-second celebration with a descending-fifth chord sequence of 7 chords, and breakdown with melodic background.
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Transitions between phases now crossfade over 3 seconds for smoother flow.
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"""
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fs = 44100 # Sampling rate (samples per second)
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complexity_factor = 10 # Number of harmonics to sum for richer timbres
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max_length = 2.0 # Maximum total duration of any sound in seconds
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@staticmethod
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def _generate_complex_wave(frequency: float, duration: float, harmonics: int = None) -> np.ndarray:
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if harmonics is None:
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harmonics = Sound.complexity_factor
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t = np.linspace(0, duration, int(Sound.fs * duration), False)
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wave = np.zeros_like(t)
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for n in range(1, harmonics + 1):
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wave += (1 / n) * np.sin(2 * np.pi * frequency * n * t)
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# ADSR envelope
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attack = int(0.02 * Sound.fs)
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release = int(0.05 * Sound.fs)
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env = np.ones_like(wave)
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env[:attack] = np.linspace(0, 1, attack)
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env[-release:] = np.linspace(1, 0, release)
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wave *= env
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wave /= np.max(np.abs(wave))
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return (wave * (2**15 - 1)).astype(np.int16)
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@staticmethod
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def _crossfade(w1: np.ndarray, w2: np.ndarray, fade_len: int) -> np.ndarray:
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# Ensure fade_len less than each
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fade_len = min(fade_len, len(w1), len(w2))
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fade_out = np.linspace(1, 0, fade_len)
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fade_in = np.linspace(0, 1, fade_len)
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w1_end = w1[-fade_len:] * fade_out
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w2_start = w2[:fade_len] * fade_in
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middle = (w1_end + w2_start).astype(np.int16)
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return np.concatenate([w1[:-fade_len], middle, w2[fade_len:]])
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@staticmethod
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def _play(wave: np.ndarray):
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play_obj = sa.play_buffer(wave, 1, 2, Sound.fs)
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play_obj.wait_done()
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@classmethod
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def play_cymais_intro_sound(cls):
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# Phase durations
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build_time = 10.0
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celebr_time = 12.0
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breakdown_time = 10.0
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overlap = 3.0 # seconds of crossfade
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bass_seg = 0.125 # 1/8s kick
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melody_seg = 0.25 # 2/8s melody
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bass_freq = 65.41 # C2 kick
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melody_freqs = [261.63, 293.66, 329.63, 392.00, 440.00, 523.25]
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# Build-up phase
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steps = int(build_time / (bass_seg + melody_seg))
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build_seq = []
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for i in range(steps):
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amp = (i + 1) / steps
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b = cls._generate_complex_wave(bass_freq, bass_seg).astype(np.float32) * amp
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m = cls._generate_complex_wave(melody_freqs[i % len(melody_freqs)], melody_seg).astype(np.float32) * amp
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build_seq.append(b.astype(np.int16))
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build_seq.append(m.astype(np.int16))
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build_wave = np.concatenate(build_seq)
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# Celebration phase: 7 descending-fifth chords
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roots = [523.25, 349.23, 233.08, 155.56, 103.83, 69.30, 46.25]
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chord_time = celebr_time / len(roots)
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celebr_seq = []
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for root in roots:
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t = np.linspace(0, chord_time, int(cls.fs * chord_time), False)
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chord = sum(np.sin(2 * np.pi * f * t) for f in [root, root * 5/4, root * 3/2])
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chord /= np.max(np.abs(chord))
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celebr_seq.append((chord * (2**15 - 1)).astype(np.int16))
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celebr_wave = np.concatenate(celebr_seq)
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# Breakdown phase (mirror of build-up)
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breakdown_wave = np.concatenate(list(reversed(build_seq)))
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# Crossfade transitions
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fade_samples = int(overlap * cls.fs)
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bc = cls._crossfade(build_wave, celebr_wave, fade_samples)
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full = cls._crossfade(bc, breakdown_wave, fade_samples)
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cls._play(full)
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@classmethod
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def play_start_sound(cls):
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freqs = [523.25, 659.26, 783.99, 880.00, 1046.50, 1174.66]
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cls._prepare_and_play(freqs)
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@classmethod
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def play_finished_successfully_sound(cls):
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freqs = [523.25, 587.33, 659.26, 783.99, 880.00, 987.77]
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cls._prepare_and_play(freqs)
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@classmethod
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def play_finished_failed_sound(cls):
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freqs = [880.00, 830.61, 783.99, 659.26, 622.25, 523.25]
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durations = [0.4, 0.3, 0.25, 0.25, 0.25, 0.25]
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cls._prepare_and_play(freqs, durations)
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@classmethod
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def play_warning_sound(cls):
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freqs = [700.00, 550.00, 750.00, 500.00, 800.00, 450.00]
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cls._prepare_and_play(freqs)
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@classmethod
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def _prepare_and_play(cls, freqs, durations=None):
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count = len(freqs)
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if durations is None:
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durations = [cls.max_length / count] * count
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else:
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total = sum(durations)
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durations = [d * cls.max_length / total for d in durations]
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waves = [cls._generate_complex_wave(f, d) for f, d in zip(freqs, durations)]
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cls._play(np.concatenate(waves)) |