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Audio is sourced from copyrighted TV drama content and is released here strictly for non-commercial research use under CC BY-NC-SA 4.0, consistent with the original Minspeech license (https://minspeech.github.io/). By requesting access you agree to use this data only for non-commercial research purposes and not to redistribute the raw audio.

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Minspeech (Southern Min)

Full train/dev/test transfer of the Minspeech Southern Min (Taiwanese) speech corpus, staged from an internal COS copy. unlabeled is still just a 10-clip illustrative preview -- see "Splits" below.

Dataset Structure

  • id: official Minspeech utterance ID (S<series><episode><utterance> for train/dev/ test; source video ID for unlabeled).
  • audio: audio clip (16kHz mono WAV), spoken in Southern Min / Taiwanese.
  • mandarin: Mandarin Chinese transcript, exactly as released in the official *_text files. Not a Taiwanese-script transcription of the audio. Empty for unlabeled (see below).

Splits

  • train / dev / test: full official Minspeech ASR splits, utterance-level clips with transcripts, matching the official *_wav.scp / *_text files. One source episode (S01142) failed to parse and was skipped -- everything else is included.
  • unlabeled: raw, not utterance-segmented source video audio with no transcript (mandarin is an empty string). The original Minspeech release ships only a video ID list for this portion and expects users to run their own VAD (the authors suggest silero-vad) to cut it into utterances. This is still just a 10-clip preview (20-second excerpts from the start of 10 source videos, for illustration only) -- the full unlabeled split (807GB of raw video audio) hasn't been uploaded yet.

Statistics

split lang_name hours n_utts n_chars_in_utts secs/utt chars/sec n_sents n_chars_in_sents
train Taigi 1692.21 2614243 20301907 2.33 3.33 0 0
dev Taigi 16.7259 25671 201198 2.35 3.34 0 0
test Taigi 18.509 28685 219051 2.32 3.29 0 0
unlabeled Taigi 0.0556 10 0 20.02 0 0 0
Total - 1727.4995 2668609 20722156 2.33 3.33 0 0

dev/test/unlabeled are computed exactly (every row scanned). train's hours/ n_chars_in_utts are estimated from a spread sample of 48 of its 1186 shards (~4%) and scaled up to the exact row count (2,614,243, from the Hub's own row-count metadata) -- scanning all 1186 shards' audio in full wasn't done here since it would mean re-downloading ~178GB just to compute stats. secs/utt and chars/sec are stable across the sampled shards (2.3-2.4s/utt, ~3.3 chars/sec throughout), so the estimate should be accurate to within a percent or two, but treat the train row as an estimate, not an exact count.

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