NagaYu/mondegreen-asr-errors

Mondegreen ASR error pairs

(ASR hypothesis, gold text) pairs for Japanese ASR post-correction.

This build is simulated -- errors come from a phonetic corruption model, not from a real ASR system. It exists so the whole pipeline (gate training, benchmarks, figures, CI) is reproducible without a GPU. Treat every number derived from it as a stated assumption, not a measurement.

How it was made

synthetic text
  -> phonetic corruption model (mondegreen.simulate)
  -> hypothesis

No audio was involved in this build. Errors were generated by perturbing the reading of each term with the confusion classes the distance function discounts (voicing, long vowels, geminates, moraic nasal) and re-rendering it the way ASR would -- as katakana, or as a homophone kanji spelling drawn from the bundled reading table. The acoustic condition fields below record which condition each record would correspond to, and are carried through for parity with the measured pipeline.

To rebuild this dataset with a real TTS -> Whisper round trip:

python scripts/harvest_errors.py --mode real --whisper-size small -n 2000

No LLM judges correctness anywhere in this pipeline.

• provenance: simulated
• pairs: 9000
• glossary terms used: 12000
• acoustic conditions: ['close/15.0', 'close/20.0', 'close/None', 'far/10.0', 'far/12.0', 'reverb/5.0']

Source text and licence

field	value
corpus	synthetic
licence	CC0-1.0
verification	Generated by mondegreen.harvest.SentenceFactory; no third-party text.
url	—

If you add a corpus, add it to mondegreen.harvest.CORPUS_LICENSES with a verified licence first. The harvester refuses unknown corpora by design.

Pathology labels

label	日本語	how it is produced
term-phonetic	固有名詞の音韻的置換	glossary term rendered as a homophone or near-homophone
voicing	濁音・清音の取り違え	rendaku / devoicing slip inside a term
long-vowel	長音の脱落・付加	chouon added or dropped
geminate	促音の脱落・付加	sokuon added or dropped
moraic-nasal	撥音の脱落	moraic nasal swallowed, typically in far-field audio
particle-drop	助詞の欠落	unstressed particle lost
word-drop	語の脱落	short span deleted entirely
number-unit	数字・単位の誤り	digit or counter substituted
hallucination	定型の幻聴	canned phrase emitted over silence or noise-only audio

Observed counts in this build:

label	count
geminate	3217
hallucination	1080
long-vowel	5688
moraic-nasal	548
number-unit	821
particle-drop	450
term-phonetic	6093
voicing	3048
word-drop	259

Fields

field	meaning
id	stable record id
gold	the text that was spoken (exact)
hypothesis	what the ASR returned
glossary_terms	glossary surfaces occurring in gold
error_types	pathology labels
speaker, speed, snr_db, room	acoustic condition
asr_model	which ASR produced the hypothesis
source_corpus, source_license	provenance of the gold text
split	train / test (disjoint speakers, sentences and glossaries)
provenance	measured (real TTS+ASR) or simulated

Intended use

Training and evaluating post-correction systems. Not for training ASR models.

Privacy

All names in this dataset are synthetic, generated by mondegreen.harvest.GlossaryBuilder. No real person's voice or name was used, and no real meeting audio exists anywhere in this pipeline.