File size: 2,987 Bytes
7923342 | 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 | import os
from collections import Counter
import numpy as np
import soundfile as sf
from datasets import load_dataset
dataset = load_dataset(
"parquet",
data_files={
"train": [
"data/test-00000-of-00017.parquet",
"data/test-00001-of-00017.parquet",
"data/test-00002-of-00017.parquet",
"data/test-00003-of-00017.parquet",
"data/test-00004-of-00017.parquet",
"data/test-00005-of-00017.parquet",
"data/test-00006-of-00017.parquet",
"data/test-00007-of-00017.parquet",
"data/test-00008-of-00017.parquet",
"data/test-00009-of-00017.parquet",
"data/test-00010-of-00017.parquet",
"data/test-00011-of-00017.parquet",
"data/test-00012-of-00017.parquet",
"data/test-00013-of-00017.parquet",
"data/test-00014-of-00017.parquet",
"data/test-00015-of-00017.parquet",
"data/test-00016-of-00017.parquet",
]
}
)
MAX_DURATION = 60.0
MAX_SPEAKERS = 4
def crop_longest_60s(example):
starts = example["timestamps_start"]
ends = example["timestamps_end"]
speakers = example["speakers"]
n = len(starts)
best_left, best_right, best_dur = 0, 0, 0
left = 0
spk_count = Counter()
for right in range(n):
spk_count[speakers[right]] += 1
while left <= right and (ends[right] - starts[left] > MAX_DURATION or len(spk_count) > MAX_SPEAKERS):
spk_count[speakers[left]] -= 1
if spk_count[speakers[left]] == 0:
del spk_count[speakers[left]]
left += 1
if left > right:
continue
dur = ends[right] - starts[left]
if dur > best_dur:
best_dur = dur
best_left, best_right = left, right
sr = example["audio"]["sampling_rate"]
start_sample = int(starts[best_left] * sr)
end_sample = int(ends[best_right] * sr)
offset = starts[best_left]
example["audio"]["array"] = example["audio"]["array"][start_sample:end_sample]
example["timestamps_start"] = [t - offset for t in starts[best_left:best_right + 1]]
example["timestamps_end"] = [t - offset for t in ends[best_left:best_right + 1]]
example["speakers"] = example["speakers"][best_left:best_right + 1]
return example
filenames = [os.path.basename(example["audio"]["path"]) for example in dataset["train"]]
dataset["train"] = dataset["train"].map(crop_longest_60s)
os.makedirs("wavs", exist_ok=True)
for i, example in enumerate(dataset["train"]):
audio = example["audio"]
filename = filenames[i]
duration = len(audio["array"]) / audio["sampling_rate"]
sf.write(f"wavs/{filename}", np.array(audio["array"]), audio["sampling_rate"])
num_speakers = len(set(example["speakers"]))
print(f"[{i + 1}/16] Saved wavs/{filename}, duration: {duration:.2f}s, segments: {len(example['timestamps_start'])}, speakers: {num_speakers}") |