Spaces:
Running on Zero
Running on Zero
File size: 9,236 Bytes
ff7b988 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 | import gzip
import json
import pathlib
import shutil
import tempfile
from enum import Enum
from io import BytesIO
import pretty_midi
from .align import create_beat_to_time_fn
from .assets import retrieve_asset
_TICKS_PER_SECOND = 4096
_QUANTIZE = lambda t: round(t * _TICKS_PER_SECOND) / _TICKS_PER_SECOND
_SEGMENT_MIDI_PITCH = 75
class Split(Enum):
TRAIN = 0
VALID = 1
TEST = 2
class HooktheoryConfig(Enum):
MELODY_TRANSCRIPTION = 0
class HooktheoryAlignment(Enum):
USER = 0
REFINED = 1
class Note:
def __init__(self, onset, pitch, offset=None):
if not isinstance(onset, float):
raise TypeError()
if not isinstance(pitch, int):
raise TypeError()
if offset is not None and not isinstance(offset, float):
raise TypeError()
if onset < 0:
raise ValueError("Onset is negative")
if offset is not None and offset <= onset:
raise ValueError("Offset is before onset")
if pitch < 0 or pitch >= 128:
raise ValueError("Pitch is outside of MIDI range")
self.onset = _QUANTIZE(onset)
self.pitch = pitch
self.offset = None if offset is None else _QUANTIZE(offset)
class MelodyTranscriptionExample:
def __init__(self, segment_start, segment_end, melody, uid=None, audio_tag=None):
if not isinstance(segment_start, float):
raise TypeError()
if not isinstance(segment_end, float):
raise TypeError()
if not all(isinstance(n, Note) for n in melody):
raise TypeError()
if segment_start < 0:
raise ValueError("Segment start is negative")
if segment_end <= segment_start:
raise ValueError("Segment end before segment start")
segment_start = _QUANTIZE(segment_start)
segment_end = _QUANTIZE(segment_end)
melody = sorted(melody, key=lambda n: (n.onset, n.pitch, n.offset))
if any((n.onset < segment_start or n.onset > segment_end) for n in melody):
raise ValueError("Onset outside of segment range")
if any(
n.offset is not None
and (n.offset < segment_start or n.offset > segment_end)
for n in melody
):
raise ValueError("Offset outside of segment range")
for i in range(len(melody) - 1):
if melody[i].onset == melody[i + 1].onset:
raise ValueError("Simultaneous onsets detected")
if melody[i].offset is not None and melody[i].offset > melody[i + 1].onset:
raise ValueError("Notes are not monophonic")
self.segment_start = segment_start
self.segment_end = segment_end
self.melody = melody
self.uid = uid
self.audio_tag = audio_tag
@classmethod
def from_midi(
cls, midi, segment_start=None, segment_end=None, uid=None, audio_tag=None
):
midi = as_pretty_midi(midi)
segment = []
melody = []
for i in midi.instruments:
for n in i.notes:
if i.is_drum and n.pitch == _SEGMENT_MIDI_PITCH:
segment.append(n.start)
elif not i.is_drum:
melody.append(Note(onset=n.start, pitch=n.pitch, offset=n.end))
if segment_start is None or segment_end is None:
if len(segment) != 2:
raise ValueError("Unknown segment")
segment_start, segment_end = sorted(segment)
return cls(
segment_start=segment_start,
segment_end=segment_end,
melody=melody,
uid=uid,
audio_tag=audio_tag,
)
def to_midi(self, velocity=100):
midi = pretty_midi.PrettyMIDI(resolution=_TICKS_PER_SECOND, initial_tempo=60.0)
segment = pretty_midi.Instrument(0, is_drum=True, name="SEGMENT")
for t in [self.segment_start, self.segment_end]:
segment.notes.append(
pretty_midi.Note(
start=t,
end=t + (1 / _TICKS_PER_SECOND),
pitch=_SEGMENT_MIDI_PITCH,
velocity=127,
)
)
melody = pretty_midi.Instrument(0, name="MELODY")
for i, n in enumerate(self.melody):
offset = n.offset
if offset is None:
try:
offset = self.melody[i + 1].onset
except IndexError:
offset = n.onset + 1
melody.notes.append(
pretty_midi.Note(
start=n.onset, end=offset, pitch=n.pitch, velocity=velocity
)
)
midi.instruments = [segment, melody]
with tempfile.NamedTemporaryFile() as f:
midi.write(f.name)
with open(f.name, "rb") as f:
return f.read()
_CONFIG_TO_TAGS = {
HooktheoryConfig.MELODY_TRANSCRIPTION: {
"require": ["AUDIO_AVAILABLE", "MELODY"],
# NOTE: Tempo changes are weird on Hooktheory and likely imply a bad alignment
"deny": ["TEMPO_CHANGES"],
},
}
def as_pretty_midi(midi):
if isinstance(midi, bytes):
midi = pretty_midi.PrettyMIDI(BytesIO(midi))
elif isinstance(midi, str) or isinstance(midi, pathlib.Path):
midi = pretty_midi.PrettyMIDI(str(midi))
elif isinstance(midi, pretty_midi.PrettyMIDI):
pass
else:
raise TypeError()
return midi
def load_hooktheory_raw(
config=HooktheoryConfig.MELODY_TRANSCRIPTION,
alignment=HooktheoryAlignment.REFINED,
additional_required_tags=[],
additional_denied_tags=[],
):
if isinstance(config, str):
config = HooktheoryConfig[config.upper().strip()]
if isinstance(alignment, str):
alignment = HooktheoryAlignment[alignment.upper().strip()]
# Build required tags list
require = _CONFIG_TO_TAGS[config]["require"]
require = require + additional_required_tags
if alignment is not None:
require.append(
"USER_ALIGNMENT"
if alignment == HooktheoryAlignment.USER
else "REFINED_ALIGNMENT"
)
# Build denied tags list
deny = _CONFIG_TO_TAGS[config]["deny"]
deny = deny + additional_denied_tags
# Load dataset
with gzip.open(retrieve_asset("HOOKTHEORY"), "r") as f:
hooktheory = json.load(f)
# Check tags
all_tags = set()
for attrs in hooktheory.values():
for tag in attrs["tags"]:
all_tags.add(tag)
for tag in require + deny:
if tag not in all_tags:
raise ValueError(f"Invalid tag: {tag}")
# Filter dataset
hooktheory = {
k: v
for k, v in hooktheory.items()
if all(tag in v["tags"] for tag in require)
and all(tag not in v["tags"] for tag in deny)
}
return hooktheory
def iter_archive(archive_path):
with tempfile.TemporaryDirectory() as d:
shutil.unpack_archive(str(archive_path), d)
midi_paths = list(pathlib.Path(d).glob("*.mid*"))
uids = [p.stem for p in midi_paths]
if len(set(uids)) != len(uids):
raise ValueError("Duplicate UID")
for p in sorted(midi_paths):
yield MelodyTranscriptionExample.from_midi(p, uid=p.stem)
def iter_rwc_ryy(vox_only=False):
asset_tag = "RWC_RYYVOX_MIDI" if vox_only else "RWC_RYY_MIDI"
for e in iter_archive(retrieve_asset(asset_tag)):
e.audio_tag = f"RWC_AUDIO_{e.uid}"
yield e
def iter_hooktheory(
alignment=HooktheoryAlignment.REFINED,
split=None,
default_octave=4,
tqdm=lambda x: x,
**kwargs,
):
if isinstance(alignment, str):
alignment = HooktheoryAlignment[alignment.upper().strip()]
if isinstance(split, str):
split = Split[split.upper().strip()]
hooktheory_raw = load_hooktheory_raw(
config=HooktheoryConfig.MELODY_TRANSCRIPTION, alignment=alignment
)
if split is not None:
hooktheory_raw = {
k: v for k, v in hooktheory_raw.items() if v["split"] == split.name
}
for uid, attrs in tqdm(hooktheory_raw.items()):
youtube_id = attrs["youtube"]["id"]
assert youtube_id is not None
alignment_ = attrs["alignment"][alignment.name.lower()]
assert alignment_ is not None and len(alignment_["times"]) >= 2
beat_to_time = create_beat_to_time_fn(alignment_["beats"], alignment_["times"])
segment_start = float(beat_to_time(0))
segment_end = float(beat_to_time(attrs["annotations"]["num_beats"]))
melody = attrs["annotations"]["melody"]
assert melody is not None and len(melody) > 0
melody = [
Note(
onset=float(beat_to_time(n["onset"])),
pitch=(1 + default_octave + n["octave"]) * 12 + n["pitch_class"],
offset=float(beat_to_time(n["offset"])),
)
for n in melody
]
yield MelodyTranscriptionExample(
uid=uid,
audio_tag=f"YOUTUBE_{youtube_id}",
segment_start=segment_start,
segment_end=segment_end,
melody=melody,
)
|