vampnet / scripts /utils /vamp_folder.py
Hugo Flores Garcia
eval, demo
3815be3
raw
history blame
5.71 kB
from pathlib import Path
import random
from typing import List
import tempfile
import subprocess
import argbind
from tqdm import tqdm
import argbind
from vampnet.interface import Interface
import audiotools as at
Interface: Interface = argbind.bind(Interface)
def calculate_bitrate(
interface, num_codebooks,
downsample_factor
):
bit_width = 10
sr = interface.codec.sample_rate
hop = interface.codec.hop_size
rate = (sr / hop) * ((bit_width * num_codebooks) / downsample_factor)
return rate
def baseline(sig, interface):
return interface.preprocess(sig)
def reconstructed(sig, interface):
return interface.to_signal(
interface.encode(sig)
)
def coarse2fine(sig, interface):
z = interface.encode(sig)
z = z[:, :interface.c2f.n_conditioning_codebooks, :]
z = interface.coarse_to_fine(z)
return interface.to_signal(z)
def coarse2fine_argmax(sig, interface):
z = interface.encode(sig)
z = z[:, :interface.c2f.n_conditioning_codebooks, :]
z = interface.coarse_to_fine(z,
sample="argmax", sampling_steps=1,
temperature=1.0
)
return interface.to_signal(z)
class CoarseCond:
def __init__(self, num_codebooks, downsample_factor):
self.num_codebooks = num_codebooks
self.downsample_factor = downsample_factor
def __call__(self, sig, interface):
n_conditioning_codebooks = interface.coarse.n_codebooks - self.num_codebooks
zv = interface.coarse_vamp_v2(sig,
n_conditioning_codebooks=n_conditioning_codebooks,
downsample_factor=self.downsample_factor
)
zv = interface.coarse_to_fine(zv)
return interface.to_signal(zv)
def opus(sig, interface, bitrate=128):
sig = interface.preprocess(sig)
with tempfile.NamedTemporaryFile(suffix=".wav") as f:
sig.write(f.name)
opus_name = Path(f.name).with_suffix(".opus")
# convert to opus
cmd = [
"ffmpeg", "-y", "-i", f.name,
"-c:a", "libopus",
"-b:a", f"{bitrate}",
opus_name
]
subprocess.run(cmd, check=True)
# convert back to wav
output_name = Path(f"{f.name}-opus").with_suffix(".wav")
cmd = [
"ffmpeg", "-y", "-i", opus_name,
output_name
]
subprocess.run(cmd, check=True)
sig = at.AudioSignal(
output_name,
sample_rate=sig.sample_rate
)
return sig
COARSE_SAMPLE_CONDS ={
"baseline": baseline,
"reconstructed": reconstructed,
"coarse2fine": coarse2fine,
**{
f"{n}_codebooks_downsampled_{x}x": CoarseCond(num_codebooks=n, downsample_factor=x)
for (n, x) in (
(4, 2), # 4 codebooks, downsampled 2x,
(2, 2), # 2 codebooks, downsampled 2x
(1, None), # 1 codebook, no downsampling
(4, 4), # 4 codebooks, downsampled 4x
(1, 2), # 1 codebook, downsampled 2x,
(4, 6), # 4 codebooks, downsampled 6x
(4, 8), # 4 codebooks, downsampled 8x
(4, 16), # 4 codebooks, downsampled 16x
(4, 32), # 4 codebooks, downsampled 16x
)
},
}
OPUS_JAZZPOP_SAMPLE_CONDS = {
f"opus_{bitrate}": lambda sig, interface: opus(sig, interface, bitrate=bitrate)
for bitrate in [5620, 1875, 1250, 625]
}
OPUS_SPOTDL_SAMPLE_CONDS = {
f"opus_{bitrate}": lambda sig, interface: opus(sig, interface, bitrate=bitrate)
for bitrate in [8036, 2296, 1148, 574]
}
C2F_SAMPLE_CONDS = {
"baseline": baseline,
"reconstructed": reconstructed,
"coarse2fine": coarse2fine,
"coarse2fine_argmax": coarse2fine_argmax,
}
@argbind.bind(without_prefix=True)
def main(
sources=[
"/data/spotdl/audio/val", "/data/spotdl/audio/test"
],
output_dir: str = "./samples",
max_excerpts: int = 5000,
exp_type: str = "coarse",
seed: int = 0,
):
at.util.seed(seed)
interface = Interface()
output_dir = Path(output_dir)
output_dir.mkdir(exist_ok=True, parents=True)
from audiotools.data.datasets import AudioLoader, AudioDataset
loader = AudioLoader(sources=sources, shuffle_state=seed)
dataset = AudioDataset(loader,
sample_rate=interface.codec.sample_rate,
duration=interface.coarse.chunk_size_s,
n_examples=max_excerpts,
without_replacement=True,
)
if exp_type == "opus-jazzpop":
SAMPLE_CONDS = OPUS_JAZZPOP_SAMPLE_CONDS
elif exp_type == "opus-spotdl":
SAMPLE_CONDS = OPUS_SPOTDL_SAMPLE_CONDS
elif exp_type == "coarse":
SAMPLE_CONDS = COARSE_SAMPLE_CONDS
elif exp_type == "c2f":
SAMPLE_CONDS = C2F_SAMPLE_CONDS
else:
raise ValueError(f"Unknown exp_type {exp_type}")
indices = list(range(max_excerpts))
random.shuffle(indices)
for i in tqdm(indices):
# if all our files are already there, skip
# done = []
# for name in SAMPLE_CONDS:
# o_dir = Path(output_dir) / name
# done.append((o_dir / f"{i}.wav").exists())
# if all(done):
# continue
sig = dataset[i]["signal"]
results = {
name: cond(sig, interface).cpu()
for name, cond in SAMPLE_CONDS.items()
}
for name, sig in results.items():
o_dir = Path(output_dir) / name
o_dir.mkdir(exist_ok=True, parents=True)
sig.write(o_dir / f"{i}.wav")
if __name__ == "__main__":
args = argbind.parse_args()
with argbind.scope(args):
main()