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Synthetic drum song generator with known ground-truth samples.
Generates realistic drum patterns by:
1. Synthesizing individual drum samples (kick, snare, hihat, etc.) with controlled parameters
2. Placing them in musical patterns with velocity variation, timing humanization, and overlap
3. Optionally mixing with bass/harmony for realistic Demucs testing
4. Returning both the mix AND the isolated ground-truth samples + onset map
This gives us a perfect evaluation setup: we know exactly which samples are where,
so we can compare extracted samples against the originals.
"""
import numpy as np
from scipy.signal import butter, filtfilt, lfilter
from dataclasses import dataclass, field
from typing import Optional
import soundfile as sf
import json
@dataclass
class GroundTruthSample:
"""A ground-truth drum sample used to build the synthetic song."""
name: str # e.g. "kick", "snare"
audio: np.ndarray # the clean one-shot sample
sr: int
frequency_range: tuple # (low_hz, high_hz) primary energy band
@property
def duration(self) -> float:
return len(self.audio) / self.sr
@dataclass
class PlacedHit:
"""A single hit placed in the timeline."""
sample_name: str
onset_time: float # seconds
velocity: float # 0-1 amplitude multiplier
audio: np.ndarray # the actual audio placed (with velocity applied)
sr: int
@dataclass
class SyntheticSong:
"""A complete synthetic drum song with ground truth."""
mix: np.ndarray # full mix audio
drums_only: np.ndarray # drums-only mix
sr: int
bpm: float
duration: float
samples: dict # {name: GroundTruthSample}
hits: list # [PlacedHit, ...]
per_sample_stems: dict # {name: np.ndarray} isolated stems
pattern_description: str
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Sample synthesis (parametric drum sounds)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _butter_filter(y, sr, fmin=None, fmax=None, order=4):
"""Apply butterworth bandpass/lowpass/highpass filter."""
nyq = sr / 2
if fmin and fmax:
b, a = butter(order, [fmin / nyq, fmax / nyq], btype='band')
elif fmin:
b, a = butter(order, fmin / nyq, btype='high')
elif fmax:
b, a = butter(order, fmax / nyq, btype='low')
else:
return y
return filtfilt(b, a, y)
def synthesize_kick(sr: int = 44100, pitch: float = 60.0,
decay: float = 12.0, punch: float = 150.0,
duration: float = 0.25, noise_amount: float = 0.05) -> np.ndarray:
"""Synthesize a kick drum: sine sweep + sub thump + click."""
t = np.arange(int(sr * duration)) / sr
# Frequency sweep: punch Hz β pitch Hz
freq = (punch - pitch) * np.exp(-30 * t) + pitch
phase = 2 * np.pi * np.cumsum(freq / sr)
body = np.sin(phase) * np.exp(-decay * t)
# Sub thump
sub = 0.4 * np.sin(2 * np.pi * pitch * t) * np.exp(-15 * t)
# Click transient
click = noise_amount * np.random.randn(len(t)) * np.exp(-200 * t)
click = _butter_filter(click, sr, fmax=4000)
kick = body + sub + click
kick = kick / (np.abs(kick).max() + 1e-8) * 0.95
return kick.astype(np.float32)
def synthesize_snare(sr: int = 44100, body_freq: float = 200.0,
noise_decay: float = 12.0, body_decay: float = 20.0,
duration: float = 0.25, wire_amount: float = 0.6) -> np.ndarray:
"""Synthesize a snare drum: body tone + noise wires."""
t = np.arange(int(sr * duration)) / sr
# Body
body = np.sin(2 * np.pi * body_freq * t) * np.exp(-body_decay * t) * 0.5
# Snare wires (filtered noise)
noise = np.random.randn(len(t)) * np.exp(-noise_decay * t) * wire_amount
noise = _butter_filter(noise, sr, fmin=1000, fmax=10000)
# Overtone ring
ring = 0.15 * np.sin(2 * np.pi * body_freq * 2.7 * t) * np.exp(-25 * t)
snare = body + noise + ring
snare = snare / (np.abs(snare).max() + 1e-8) * 0.95
return snare.astype(np.float32)
def synthesize_hihat(sr: int = 44100, is_open: bool = False,
brightness: float = 8000.0,
duration: float = None) -> np.ndarray:
"""Synthesize a hi-hat: filtered noise with metallic overtones."""
if duration is None:
duration = 0.4 if is_open else 0.08
t = np.arange(int(sr * duration)) / sr
decay = 6.0 if is_open else 40.0
noise = np.random.randn(len(t)) * np.exp(-decay * t)
noise = _butter_filter(noise, sr, fmin=brightness)
# Metallic overtones
metal = 0.2 * np.sin(2 * np.pi * 6500 * t) * np.exp(-(decay + 5) * t)
metal += 0.1 * np.sin(2 * np.pi * 9200 * t) * np.exp(-(decay + 8) * t)
hh = noise + metal
hh = hh / (np.abs(hh).max() + 1e-8) * 0.7
return hh.astype(np.float32)
def synthesize_tom(sr: int = 44100, pitch: float = 120.0,
decay: float = 10.0, duration: float = 0.3) -> np.ndarray:
"""Synthesize a tom: pitched body + slight noise."""
t = np.arange(int(sr * duration)) / sr
freq = pitch * 1.5 * np.exp(-8 * t) + pitch
phase = 2 * np.pi * np.cumsum(freq / sr)
body = np.sin(phase) * np.exp(-decay * t)
noise = 0.1 * np.random.randn(len(t)) * np.exp(-20 * t)
noise = _butter_filter(noise, sr, fmin=200, fmax=3000)
tom = body + noise
tom = tom / (np.abs(tom).max() + 1e-8) * 0.9
return tom.astype(np.float32)
def synthesize_cymbal(sr: int = 44100, duration: float = 1.5) -> np.ndarray:
"""Synthesize a crash/ride cymbal: dense metallic noise."""
t = np.arange(int(sr * duration)) / sr
noise = np.random.randn(len(t)) * np.exp(-3 * t)
noise = _butter_filter(noise, sr, fmin=3000)
# Multiple metallic partials
partials = sum(
(0.15 / (i + 1)) * np.sin(2 * np.pi * f * t) * np.exp(-(2 + i) * t)
for i, f in enumerate([4200, 5800, 7300, 9100, 11500])
)
cym = noise + partials
cym = cym / (np.abs(cym).max() + 1e-8) * 0.6
return cym.astype(np.float32)
def synthesize_bass_note(sr: int = 44100, freq: float = 65.0,
duration: float = 0.5) -> np.ndarray:
"""Synthesize a bass note for adding to the mix (tests Demucs separation)."""
t = np.arange(int(sr * duration)) / sr
# Sawtooth-ish bass with harmonics
wave = (np.sin(2 * np.pi * freq * t) +
0.5 * np.sin(2 * np.pi * freq * 2 * t) +
0.25 * np.sin(2 * np.pi * freq * 3 * t))
envelope = np.minimum(t * 50, 1.0) * np.exp(-3 * t) # quick attack, slow decay
bass = wave * envelope
bass = _butter_filter(bass, sr, fmax=500)
bass = bass / (np.abs(bass).max() + 1e-8) * 0.5
return bass.astype(np.float32)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Sample set creation with controlled variation
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def create_sample_set(sr: int = 44100, seed: int = 42,
variation: str = "medium") -> dict:
"""Create a set of ground-truth drum samples with parametric variation.
Args:
variation: "none" (identical hits), "low", "medium", "high"
"""
rng = np.random.RandomState(seed)
# Base parameters with per-variation noise
var_scale = {"none": 0.0, "low": 0.05, "medium": 0.15, "high": 0.3}[variation]
def vary(val, amount=None):
a = amount if amount is not None else var_scale
return val * (1.0 + rng.uniform(-a, a))
samples = {
'kick': GroundTruthSample(
name='kick',
audio=synthesize_kick(sr, pitch=vary(60), decay=vary(12), punch=vary(150)),
sr=sr,
frequency_range=(30, 300),
),
'snare': GroundTruthSample(
name='snare',
audio=synthesize_snare(sr, body_freq=vary(200), noise_decay=vary(12)),
sr=sr,
frequency_range=(100, 8000),
),
'hihat_closed': GroundTruthSample(
name='hihat_closed',
audio=synthesize_hihat(sr, is_open=False, brightness=vary(8000)),
sr=sr,
frequency_range=(3000, 20000),
),
'hihat_open': GroundTruthSample(
name='hihat_open',
audio=synthesize_hihat(sr, is_open=True, brightness=vary(7000)),
sr=sr,
frequency_range=(2000, 20000),
),
'tom': GroundTruthSample(
name='tom',
audio=synthesize_tom(sr, pitch=vary(120), decay=vary(10)),
sr=sr,
frequency_range=(50, 2000),
),
'cymbal': GroundTruthSample(
name='cymbal',
audio=synthesize_cymbal(sr),
sr=sr,
frequency_range=(2000, 20000),
),
}
return samples
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Pattern generation
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def generate_basic_rock(bars: int = 4) -> dict:
"""Basic rock pattern. Returns {sample_name: [(beat_position, velocity), ...]}"""
pattern = {
'kick': [],
'snare': [],
'hihat_closed': [],
'hihat_open': [],
}
for bar in range(bars):
offset = bar * 4 # 4 beats per bar
# Kick on 1 and 3
pattern['kick'].extend([(offset + 0, 0.9), (offset + 2, 0.85)])
# Snare on 2 and 4
pattern['snare'].extend([(offset + 1, 0.85), (offset + 3, 0.9)])
# HH on every 8th note
for eighth in range(8):
vel = 0.6 if eighth % 2 == 0 else 0.4 # accented downbeats
pattern['hihat_closed'].append((offset + eighth * 0.5, vel))
# Open hat on "& of 4"
pattern['hihat_open'].append((offset + 3.5, 0.55))
return pattern
def generate_funk_pattern(bars: int = 4) -> dict:
"""Funky syncopated pattern with ghost notes."""
pattern = {
'kick': [],
'snare': [],
'hihat_closed': [],
'hihat_open': [],
'tom': [],
}
for bar in range(bars):
o = bar * 4
# Syncopated kick
pattern['kick'].extend([
(o + 0, 0.95), (o + 0.75, 0.6), (o + 2, 0.9), (o + 2.5, 0.7)
])
# Snare with ghost notes
pattern['snare'].extend([
(o + 1, 0.9), (o + 1.75, 0.3), (o + 3, 0.85), (o + 3.25, 0.25)
])
# 16th note hats
for sixteenth in range(16):
vel = 0.5 + 0.2 * (sixteenth % 4 == 0)
pattern['hihat_closed'].append((o + sixteenth * 0.25, vel))
# Tom fill on last bar
if bar == bars - 1:
pattern['tom'].extend([
(o + 3, 0.8), (o + 3.25, 0.75), (o + 3.5, 0.85), (o + 3.75, 0.9)
])
return pattern
def generate_halftime_pattern(bars: int = 4) -> dict:
"""Half-time/trap-influenced pattern."""
pattern = {
'kick': [],
'snare': [],
'hihat_closed': [],
'cymbal': [],
}
for bar in range(bars):
o = bar * 4
# Kick on 1
pattern['kick'].append((o + 0, 0.95))
# Occasional double kick
if bar % 2 == 1:
pattern['kick'].append((o + 0.5, 0.7))
# Snare on 3 only (half time)
pattern['snare'].append((o + 2, 0.9))
# Fast hats
for sixteenth in range(16):
vel = 0.3 + 0.15 * (sixteenth % 2 == 0)
pattern['hihat_closed'].append((o + sixteenth * 0.25, vel))
# Crash on bar 1
if bar == 0:
pattern['cymbal'].append((o + 0, 0.7))
return pattern
PATTERNS = {
'rock': generate_basic_rock,
'funk': generate_funk_pattern,
'halftime': generate_halftime_pattern,
}
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Song assembly
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def assemble_song(
samples: dict,
pattern: dict,
sr: int = 44100,
bpm: float = 120.0,
humanize_timing_ms: float = 5.0,
humanize_velocity: float = 0.05,
add_bass: bool = True,
bass_notes: list = None,
room_noise_db: float = -60.0,
seed: int = 42,
) -> SyntheticSong:
"""Assemble a complete synthetic song from samples and pattern."""
rng = np.random.RandomState(seed)
beat_dur = 60.0 / bpm
# Calculate total duration
all_beats = []
for name, events in pattern.items():
if events:
all_beats.extend([e[0] for e in events])
max_beat = max(all_beats) if all_beats else 4
total_dur = (max_beat + 2) * beat_dur # add 2 beats of tail
total_samples = int(total_dur * sr)
# Initialize stems
drums_mix = np.zeros(total_samples, dtype=np.float64)
per_sample = {name: np.zeros(total_samples, dtype=np.float64) for name in samples}
hits = []
# Place each hit
for sample_name, events in pattern.items():
if sample_name not in samples:
continue
sample = samples[sample_name]
for beat_pos, velocity in events:
# Humanize timing
timing_offset = rng.normal(0, humanize_timing_ms / 1000.0)
onset_time = beat_pos * beat_dur + timing_offset
onset_time = max(0, onset_time)
# Humanize velocity
vel = velocity * (1.0 + rng.uniform(-humanize_velocity, humanize_velocity))
vel = np.clip(vel, 0.05, 1.0)
# Place in timeline
start = int(onset_time * sr)
audio = sample.audio * vel
end = min(start + len(audio), total_samples)
actual_len = end - start
if actual_len <= 0:
continue
drums_mix[start:end] += audio[:actual_len]
per_sample[sample_name][start:end] += audio[:actual_len]
hits.append(PlacedHit(
sample_name=sample_name,
onset_time=onset_time,
velocity=vel,
audio=audio[:actual_len],
sr=sr,
))
# Optional bass line (tests Demucs separation)
bass_track = np.zeros(total_samples, dtype=np.float64)
if add_bass:
if bass_notes is None:
# Simple root note bass on beat 1 and 3
bass_notes_list = [(0, 65), (2, 65), (4, 82), (6, 82)]
# Repeat for all bars
n_bars = int(max_beat / 4) + 1
bass_notes = []
for bar in range(n_bars):
for beat, freq in bass_notes_list:
if beat + bar * 4 <= max_beat:
bass_notes.append((beat + bar * 4, freq))
for beat_pos, freq in bass_notes:
onset = beat_pos * beat_dur
start = int(onset * sr)
bass = synthesize_bass_note(sr, freq=freq, duration=beat_dur * 2)
end = min(start + len(bass), total_samples)
bass_track[start:end] += bass[:end - start]
# Add room noise
noise = rng.randn(total_samples) * (10 ** (room_noise_db / 20))
# Final mix
full_mix = drums_mix + bass_track + noise
# Normalize
peak = np.abs(full_mix).max()
if peak > 0:
scale = 0.9 / peak
full_mix *= scale
drums_mix *= scale
for name in per_sample:
per_sample[name] *= scale
return SyntheticSong(
mix=full_mix.astype(np.float32),
drums_only=drums_mix.astype(np.float32),
sr=sr,
bpm=bpm,
duration=total_dur,
samples=samples,
hits=hits,
per_sample_stems=per_sample,
pattern_description=str({k: len(v) for k, v in pattern.items()}),
)
def generate_test_song(
pattern_name: str = 'rock',
bars: int = 4,
bpm: float = 120.0,
sr: int = 44100,
variation: str = 'medium',
add_bass: bool = True,
seed: int = 42,
) -> SyntheticSong:
"""High-level function: generate a complete test song with ground truth."""
samples = create_sample_set(sr=sr, seed=seed, variation=variation)
pattern_fn = PATTERNS.get(pattern_name, generate_basic_rock)
pattern = pattern_fn(bars=bars)
return assemble_song(
samples=samples,
pattern=pattern,
sr=sr,
bpm=bpm,
add_bass=add_bass,
seed=seed,
)
def save_ground_truth(song: SyntheticSong, output_dir: str):
"""Save all ground truth data for evaluation."""
import os
os.makedirs(output_dir, exist_ok=True)
os.makedirs(os.path.join(output_dir, 'gt_samples'), exist_ok=True)
os.makedirs(os.path.join(output_dir, 'gt_stems'), exist_ok=True)
# Save mix and drums
sf.write(os.path.join(output_dir, 'mix.wav'), song.mix, song.sr, subtype='PCM_24')
sf.write(os.path.join(output_dir, 'drums_only.wav'), song.drums_only, song.sr, subtype='PCM_24')
# Save individual samples
for name, sample in song.samples.items():
sf.write(os.path.join(output_dir, 'gt_samples', f'{name}.wav'),
sample.audio, sample.sr, subtype='PCM_24')
# Save per-sample stems
for name, stem in song.per_sample_stems.items():
sf.write(os.path.join(output_dir, 'gt_stems', f'{name}_stem.wav'),
stem, song.sr, subtype='PCM_24')
# Save hit map
hit_map = [
{'sample': h.sample_name, 'onset': h.onset_time, 'velocity': h.velocity}
for h in song.hits
]
with open(os.path.join(output_dir, 'hit_map.json'), 'w') as f:
json.dump({
'bpm': song.bpm,
'duration': song.duration,
'sr': song.sr,
'pattern': song.pattern_description,
'hits': hit_map,
}, f, indent=2)
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