File size: 7,749 Bytes
8c2913a | 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 | """Generate the 20 Russian GLaDOS teacher clips with CosyVoice 3 VC.
The English Portal WAV remains the speaker/timbre reference. Silero + RuAccent
provides only Russian content, and Rubber Band first matches the reference
duration. The optional pitch pass aligns the generated median F0 to the
English reference while preserving formants.
"""
from __future__ import annotations
import argparse
import csv
from dataclasses import asdict
import json
import os
from pathlib import Path
import sys
import tempfile
try:
from glados_ru.align_pitch import align_median_f0
from glados_ru.pipeline_config import load_controls, resolve_line
from glados_ru.prosody_profile import analyze, warp_duration
except ModuleNotFoundError: # Support running the copied bundle directly.
from align_pitch import align_median_f0
from pipeline_config import load_controls, resolve_line
from prosody_profile import analyze, warp_duration
ROOT = Path(__file__).parent
DEFAULT_MODEL = os.environ.get(
"COSYVOICE_MODEL_DIR",
"pretrained_models/Fun-CosyVoice3-0.5B",
)
DEFAULT_COSYVOICE_ROOT = Path(os.environ.get("COSYVOICE_ROOT", "CosyVoice"))
DEFAULT_SOURCE = ROOT / "sources_silero"
DEFAULT_REFERENCE = ROOT / "references"
DEFAULT_PROFILE = ROOT / "profiles_batch"
DEFAULT_WARPED = ROOT / "profiled_sources_batch"
DEFAULT_OUTPUT = ROOT / "generated_cosyvoice_vc_batch"
DEFAULT_PITCH = ROOT / "generated_cosyvoice_vc_batch_pitch"
DEFAULT_CONTROLS = ROOT / "pipeline_controls.json"
def ids_from_files(directory: Path) -> list[str]:
return sorted(path.stem for path in directory.glob("*.wav"))
def translations(root: Path) -> dict[str, str]:
result: dict[str, str] = {}
for path in sorted(root.glob("translations_*.tsv")):
with path.open(encoding="utf-8", newline="") as handle:
for row in csv.DictReader(handle, delimiter="\t"):
result[row["id"].zfill(4)] = row["ru"]
if not result:
raise ValueError(f"no translations_*.tsv files found in {root}")
return result
def generate(
*,
model_dir: str,
cosyvoice_root: Path,
translations_dir: Path,
source_dir: Path,
reference_dir: Path,
profile_dir: Path,
warped_dir: Path,
output_dir: Path,
pitch_dir: Path,
controls_path: Path,
selected_ids: list[str],
overwrite: bool,
) -> None:
import torch
import torchaudio
sys.path.insert(0, str(cosyvoice_root))
sys.path.insert(0, str(cosyvoice_root / "third_party" / "Matcha-TTS"))
from cosyvoice.cli.cosyvoice import AutoModel
output_dir.mkdir(parents=True, exist_ok=True)
pitch_dir.mkdir(parents=True, exist_ok=True)
profile_dir.mkdir(parents=True, exist_ok=True)
warped_dir.mkdir(parents=True, exist_ok=True)
cosyvoice = AutoModel(model_dir=model_dir, fp16=False)
translated = translations(translations_dir)
controls = load_controls(controls_path)
for item_id in selected_ids:
canonical_text = translated.get(item_id, "")
line = resolve_line(item_id, canonical_text, controls)
source = source_dir / f"{item_id}.wav"
reference = reference_dir / f"{item_id}.wav"
speaker_reference = reference_dir / f"{line.speaker_reference}.wav"
if not source.is_file() or not reference.is_file() or not speaker_reference.is_file():
print(f"skip {item_id}: missing source or reference", flush=True)
continue
profile_path = profile_dir / f"{item_id}.json"
warped = warped_dir / f"{item_id}.wav"
if overwrite or not profile_path.exists() or not warped.exists():
profile = analyze(reference, canonical_text)
profile["source"] = analyze(source, line.tts_text)
profile["pipeline_control"] = asdict(line)
profile_path.write_text(
json.dumps(profile, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
warp_duration(source, reference, warped)
else:
profile = json.loads(profile_path.read_text(encoding="utf-8"))
expected_control = asdict(line)
if profile.get("pipeline_control") != expected_control:
profile["pipeline_control"] = expected_control
profile_path.write_text(
json.dumps(profile, ensure_ascii=False, indent=2) + "\n",
encoding="utf-8",
)
target = output_dir / f"{item_id}.wav"
if overwrite or not target.exists():
with torch.inference_mode():
results = cosyvoice.inference_vc(
str(warped if line.duration_stage == "pre" else source),
str(speaker_reference),
stream=False,
speed=1.0,
)
first = next(iter(results))
if line.duration_stage == "pre":
torchaudio.save(
str(target),
first["tts_speech"].cpu(),
cosyvoice.sample_rate,
)
else:
with tempfile.TemporaryDirectory(prefix=f"glados-vc-{item_id}-") as temp_dir:
raw_target = Path(temp_dir) / "raw-vc.wav"
torchaudio.save(
str(raw_target),
first["tts_speech"].cpu(),
cosyvoice.sample_rate,
)
warp_duration(raw_target, reference, target)
print(f"generated {target}", flush=True)
else:
print(f"skip existing {target}", flush=True)
pitch_target = pitch_dir / f"{item_id}.wav"
if overwrite or not pitch_target.exists():
result = align_median_f0(target, reference, pitch_target)
print(
f"pitch {item_id}: source={result.source_f0:.1f}Hz "
f"reference={result.reference_f0:.1f}Hz output={result.output_f0:.1f}Hz "
f"shift={result.semitones:.2f}st error={result.relative_error:.2%}",
flush=True,
)
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--model-dir", default=DEFAULT_MODEL)
parser.add_argument("--cosyvoice-root", type=Path, default=DEFAULT_COSYVOICE_ROOT)
parser.add_argument("--translations-dir", type=Path, default=ROOT)
parser.add_argument("--source-dir", type=Path, default=DEFAULT_SOURCE)
parser.add_argument("--reference-dir", type=Path, default=DEFAULT_REFERENCE)
parser.add_argument("--profile-dir", type=Path, default=DEFAULT_PROFILE)
parser.add_argument("--warped-dir", type=Path, default=DEFAULT_WARPED)
parser.add_argument("--output-dir", type=Path, default=DEFAULT_OUTPUT)
parser.add_argument("--pitch-dir", type=Path, default=DEFAULT_PITCH)
parser.add_argument("--controls", type=Path, default=DEFAULT_CONTROLS)
parser.add_argument("--ids", nargs="*", default=None)
parser.add_argument("--overwrite", action="store_true")
args = parser.parse_args()
selected = args.ids or ids_from_files(args.reference_dir)
generate(
model_dir=args.model_dir,
cosyvoice_root=args.cosyvoice_root,
translations_dir=args.translations_dir,
source_dir=args.source_dir,
reference_dir=args.reference_dir,
profile_dir=args.profile_dir,
warped_dir=args.warped_dir,
output_dir=args.output_dir,
pitch_dir=args.pitch_dir,
controls_path=args.controls,
selected_ids=selected,
overwrite=args.overwrite,
)
if __name__ == "__main__":
main()
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