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... | 1,556 | 0.998625 | /data/corpus/libritts/durations |
302_123516_000009_000002 | 21 | [
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302_123516_000019_000000 | 9 | [
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302_123516_000011_000000 | 36 | [
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302_123516_000023_000001 | 54 | [
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302_123516_000031_000000 | 40 | [
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302_123516_000002_000000 | 2 | [
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1... | 1,484 | 1.000535 | /data/corpus/libritts/durations |
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302_123516_000023_000000 | 33 | [
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302_123516_000027_000004 | 37 | [
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31,
7,
38
] | 878 | 0.999369 | /data/corpus/libritts/durations |
End of preview. Expand in Data Studio
LibriTTS per-token durations for TASTE-C
Per-text-token durations (in mel frames) for every LibriTTS utterance, used as
the duration targets of the TASTE-C (continuous, Matcha-CFM decoder) model. No
audio is included; join to LibriTTS on utt.
Columns
| column | type | meaning |
|---|---|---|
utt |
string | LibriTTS utterance id, e.g. 1089_134686_000001_000001 |
n_tokens |
int32 | len(tokenizer.encode(asr_text, add_special_tokens=False)) |
duration |
list | mel frames per text token; length == n_tokens |
dur_sum |
int64 | sum(duration) |
rate_ratio |
float32 | dur_sum / (audio_seconds * 22050 / 256); ~1.0 means correct frame rate |
source |
string | directory the duration came from (see below) |
How the durations were made
- Text: the
asr_texttranscript (Whisper ASR), not the normalized LibriTTStext. Token counts only matchasr_text. - Tokenizer:
distil-whisper/distil-large-v3fast tokenizer, no special tokens. - Frames: mel frames at 22050 Hz / hop 256 (86.13 fps).
- Aligner: Whisper-large-v3 cross-attention + DTW, rescaled from Whisper's 16 kHz / hop 320 grid to 22050 / 256.
The exact provenance is also stored as JSON in each parquet's schema metadata
under the key taste_durations.
Coverage
347,306 utterances, 100% of all 7 subsets. 4 train utterances (1 in
train-clean-360, 3 in train-other-500) have a corrupt asr_text (Whisper
hallucination loop to the 444-token cap) and cannot be aligned; their
duration is an explicit uniform split, marked by source ending in
durations_unalignable. Filter them out if you need real alignments only.
Usage
from datasets import load_dataset
ds = load_dataset("wy11ing/libritts-taste-durations", split="dev_clean")
dur = {r["utt"]: r["duration"] for r in ds}
LibriTTS is released under CC BY 4.0 (Zen et al., 2019).
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