Datasets:
id stringlengths 14 16 | speaker_id stringclasses 8
values | chapter_id stringclasses 19
values | duration_s float64 1.87 33.9 | reference stringlengths 5 576 | transcript stringlengths 7 401 | reference_normalized stringlengths 5 576 | transcript_normalized stringlengths 7 393 | wer float64 0 1 | embedding listlengths 384 384 |
|---|---|---|---|---|---|---|---|---|---|
1089-134686-0000 | 1089 | 134686 | 10.435 | HE HOPED THERE WOULD BE STEW FOR DINNER TURNIPS AND CARROTS AND BRUISED POTATOES AND FAT MUTTON PIECES TO BE LADLED OUT IN THICK PEPPERED FLOUR FATTENED SAUCE | He hoped there would be stew for dinner, turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick peppered flour-fattened sauce. | he hoped there would be stew for dinner turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick peppered flour fattened sauce | he hoped there would be stew for dinner turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick peppered flour fattened sauce | 0 | [
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1089-134686-0001 | 1089 | 134686 | 3.275 | STUFF IT INTO YOU HIS BELLY COUNSELLED HIM | Stuff it into you, his belly counseled him. | stuff it into you his belly counseled him | stuff it into you his belly counseled him | 0 | [
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1089-134686-0002 | 1089 | 134686 | 6.625 | AFTER EARLY NIGHTFALL THE YELLOW LAMPS WOULD LIGHT UP HERE AND THERE THE SQUALID QUARTER OF THE BROTHELS | After early nightfall the yellow lamps would light up here and there the squalid quarter of the brothels. | after early nightfall the yellow lamps would light up here and there the squalid quarter of the brothels | after early nightfall the yellow lamps would light up here and there the squalid quarter of the brothels | 0 | [
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1089-134686-0003 | 1089 | 134686 | 2.68 | HELLO BERTIE ANY GOOD IN YOUR MIND | Hello Bertie, any good in your mind? | hello bertie any good in your mind | hello bertie any good in your mind | 0 | [
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1089-134686-0004 | 1089 | 134686 | 5.215 | NUMBER TEN FRESH NELLY IS WAITING ON YOU GOOD NIGHT HUSBAND | Number ten, Fresh Nellie is waiting on you. Good night, husband. | number 10 fresh nelly is waiting on you good night husband | number 10 fresh nellie is waiting on you good night husband | 0.090909 | [
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1089-134686-0005 | 1089 | 134686 | 9.635 | THE MUSIC CAME NEARER AND HE RECALLED THE WORDS THE WORDS OF SHELLEY'S FRAGMENT UPON THE MOON WANDERING COMPANIONLESS PALE FOR WEARINESS | The music came nearer and he recalled the words, the words of Shelley's fragment upon the moon wandering companionless, pale for weariness. | the music came nearer and he recalled the words the words of shelley is fragment upon the moon wandering companionless pale for weariness | the music came nearer and he recalled the words the words of shelley is fragment upon the moon wandering companionless pale for weariness | 0 | [
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1089-134686-0006 | 1089 | 134686 | 10.555 | THE DULL LIGHT FELL MORE FAINTLY UPON THE PAGE WHEREON ANOTHER EQUATION BEGAN TO UNFOLD ITSELF SLOWLY AND TO SPREAD ABROAD ITS WIDENING TAIL | The dull light fell more faintly upon the page whereon another equation began to unfold itself slowly and to spread abroad its widening tail. | the dull light fell more faintly upon the page whereon another equation began to unfold itself slowly and to spread abroad its widening tail | the dull light fell more faintly upon the page whereon another equation began to unfold itself slowly and to spread abroad its widening tail | 0 | [
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1089-134686-0007 | 1089 | 134686 | 4.275 | A COLD LUCID INDIFFERENCE REIGNED IN HIS SOUL | A cold, lucid indifference reigned in his soul. | a cold lucid indifference reigned in his soul | a cold lucid indifference reigned in his soul | 0 | [
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1089-134686-0008 | 1089 | 134686 | 6.73 | THE CHAOS IN WHICH HIS ARDOUR EXTINGUISHED ITSELF WAS A COLD INDIFFERENT KNOWLEDGE OF HIMSELF | The chaos in which his ardor extinguished itself was a cold indifferent knowledge of | the chaos in which his ardor extinguished itself was a cold indifferent knowledge of himself | the chaos in which his ardor extinguished itself was a cold indifferent knowledge of | 0.066667 | [
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1089-134686-0009 | 1089 | 134686 | 10.575 | AT MOST BY AN ALMS GIVEN TO A BEGGAR WHOSE BLESSING HE FLED FROM HE MIGHT HOPE WEARILY TO WIN FOR HIMSELF SOME MEASURE OF ACTUAL GRACE | At most, by an alms given to a beggar whose blessing he fled from, he might hope wearily to win for himself some measure of actual grace. | at most by an alms given to a beggar whose blessing he fled from he might hope wearily to win for himself some measure of actual grace | at most by an alms given to a beggar whose blessing he fled from he might hope wearily to win for himself some measure of actual grace | 0 | [
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1089-134686-0010 | 1089 | 134686 | 4.405 | WELL NOW ENNIS I DECLARE YOU HAVE A HEAD AND SO HAS MY STICK | Well, now, Ennis, I declare you have a head and so has my stick. | well now ennis i declare you have a head and so has my stick | well now ennis i declare you have a head and so has my stick | 0 | [
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1089-134686-0011 | 1089 | 134686 | 12.445 | ON SATURDAY MORNINGS WHEN THE SODALITY MET IN THE CHAPEL TO RECITE THE LITTLE OFFICE HIS PLACE WAS A CUSHIONED KNEELING DESK AT THE RIGHT OF THE ALTAR FROM WHICH HE LED HIS WING OF BOYS THROUGH THE RESPONSES | On Saturday mornings, when the Sodality met in the chapel to recite the little office, his place was a cushioned kneeling desk at the right of the altar from which he led his wing of boys through the responses. | on saturday mornings when the sodality met in the chapel to recite the little office his place was a cushioned kneeling desk at the right of the altar from which he led his wing of boys through the responses | on saturday mornings when the sodality met in the chapel to recite the little office his place was a cushioned kneeling desk at the right of the altar from which he led his wing of boys through the responses | 0 | [
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1089-134686-0012 | 1089 | 134686 | 11.64 | HER EYES SEEMED TO REGARD HIM WITH MILD PITY HER HOLINESS A STRANGE LIGHT GLOWING FAINTLY UPON HER FRAIL FLESH DID NOT HUMILIATE THE SINNER WHO APPROACHED HER | Her eyes seemed to regard him with mild pity. Her holiness, a strange light glowing faintly upon her frail flesh, did not humiliate the sinner who approached her. | her eyes seemed to regard him with mild pity her holiness a strange light glowing faintly upon her frail flesh did not humiliate the sinner who approached her | her eyes seemed to regard him with mild pity her holiness a strange light glowing faintly upon her frail flesh did not humiliate the sinner who approached her | 0 | [
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1089-134686-0013 | 1089 | 134686 | 7.915 | IF EVER HE WAS IMPELLED TO CAST SIN FROM HIM AND TO REPENT THE IMPULSE THAT MOVED HIM WAS THE WISH TO BE HER KNIGHT | If ever he was impelled to cast sin from him and to repent, the impulse that moved him was the wish to be her knight. | if ever he was impelled to cast sin from him and to repent the impulse that moved him was the wish to be her knight | if ever he was impelled to cast sin from him and to repent the impulse that moved him was the wish to be her knight | 0 | [
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1089-134686-0014 | 1089 | 134686 | 2.225 | HE TRIED TO THINK HOW IT COULD BE | He tried to think how it could be. | he tried to think how it could be | he tried to think how it could be | 0 | [
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1089-134686-0015 | 1089 | 134686 | 5.815 | BUT THE DUSK DEEPENING IN THE SCHOOLROOM COVERED OVER HIS THOUGHTS THE BELL RANG | but the dusk, deepening in the schoolroom, covered over his thoughts. The bell rang. | but the dusk deepening in the schoolroom covered over his thoughts the bell rang | but the dusk deepening in the schoolroom covered over his thoughts the bell rang | 0 | [
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1089-134686-0016 | 1089 | 134686 | 3.54 | THEN YOU CAN ASK HIM QUESTIONS ON THE CATECHISM DEDALUS | Then you can ask him questions on the Catechism Daedalus. | then you can ask him questions on the catechism dedalus | then you can ask him questions on the catechism daedalus | 0.1 | [
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1089-134686-0017 | 1089 | 134686 | 8.87 | STEPHEN LEANING BACK AND DRAWING IDLY ON HIS SCRIBBLER LISTENED TO THE TALK ABOUT HIM WHICH HERON CHECKED FROM TIME TO TIME BY SAYING | Stephen, leaning back and drawing idly on his scribbler, listened to the talk about him which Harren checked from time to time by saying, | stephen leaning back and drawing idly on his scribbler listened to the talk about him which heron checked from time to time by saying | stephen leaning back and drawing idly on his scribbler listened to the talk about him which harren checked from time to time by saying | 0.041667 | [
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1089-134686-0018 | 1089 | 134686 | 15.72 | IT WAS STRANGE TOO THAT HE FOUND AN ARID PLEASURE IN FOLLOWING UP TO THE END THE RIGID LINES OF THE DOCTRINES OF THE CHURCH AND PENETRATING INTO OBSCURE SILENCES ONLY TO HEAR AND FEEL THE MORE DEEPLY HIS OWN CONDEMNATION | It was strange, too, that he found an arid pleasure in following up to the end the rigid lines of the doctrines of the church, and penetrating into obscure silences only to hear and feel the more deeply his own condemnation. | it was strange too that he found an arid pleasure in following up to the end the rigid lines of the doctrines of the church and penetrating into obscure silences only to hear and feel the more deeply his own condemnation | it was strange too that he found an arid pleasure in following up to the end the rigid lines of the doctrines of the church and penetrating into obscure silences only to hear and feel the more deeply his own condemnation | 0 | [
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1089-134686-0019 | 1089 | 134686 | 13.895 | THE SENTENCE OF SAINT JAMES WHICH SAYS THAT HE WHO OFFENDS AGAINST ONE COMMANDMENT BECOMES GUILTY OF ALL HAD SEEMED TO HIM FIRST A SWOLLEN PHRASE UNTIL HE HAD BEGUN TO GROPE IN THE DARKNESS OF HIS OWN STATE | The sentence of St. James, which says that he who offends against one commandment becomes guilty of all, had seemed to him first a swollen phrase, until he had begun to grope in the darkness of his own state. | the sentence of saint james which says that he who offends against one commandment becomes guilty of all had seemed to him 1st a swollen phrase until he had begun to grope in the darkness of his own state | the sentence of saint james which says that he who offends against one commandment becomes guilty of all had seemed to him 1st a swollen phrase until he had begun to grope in the darkness of his own state | 0 | [
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1089-134686-0020 | 1089 | 134686 | 16.79 | IF A MAN HAD STOLEN A POUND IN HIS YOUTH AND HAD USED THAT POUND TO AMASS A HUGE FORTUNE HOW MUCH WAS HE OBLIGED TO GIVE BACK THE POUND HE HAD STOLEN ONLY OR THE POUND TOGETHER WITH THE COMPOUND INTEREST ACCRUING UPON IT OR ALL HIS HUGE FORTUNE | If a man had stolen a pound in his youth, and had used that pound to amass a huge fortune, how much was he obliged to give back? The pound he had stolen only, or the pound together with the compound interest accruing upon it, or all his huge fortune? | if a man had stolen a pound in his youth and had used that pound to amass a huge fortune how much was he obliged to give back the pound he had stolen only or the pound together with the compound interest accruing upon it or all his huge fortune | if a man had stolen a pound in his youth and had used that pound to amass a huge fortune how much was he obliged to give back the pound he had stolen only or the pound together with the compound interest accruing upon it or all his huge fortune | 0 | [
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1089-134686-0021 | 1089 | 134686 | 6.55 | IF A LAYMAN IN GIVING BAPTISM POUR THE WATER BEFORE SAYING THE WORDS IS THE CHILD BAPTIZED | If a layman, in giving baptism, pour the water before saying the words, is the child baptized? | if a layman in giving baptism pour the water before saying the words is the child baptized | if a layman in giving baptism pour the water before saying the words is the child baptized | 0 | [
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End of preview. Expand in Data Studio
LibriSpeech test-clean: whisper-medium.en batch transcripts (first 500 utterances)
This is a real batch transcription job from Boole Inference (Boole AI, Inc.). It ran on CPU, and every number below was measured in this run.
Results
| Model | openai/whisper-medium.en (Apache-2.0), fp32, greedy decoding |
| Files processed | 500 / 500 |
| Failed / retried | 0 failed, 0 retried batches |
| Audio transcribed | 3,809.0 s (63.5 min); utterances range from 1.9 s to 33.9 s |
| Wall time for the transcription job | 1,795 s (29.9 min), including model load; the transcription loop alone took 1,788.9 s |
| Speed | about 2.1× real time (63.5 audio-min in 29.9 wall-min) |
| WER (normalized) | 2.29% = 244 errors / 10,634 reference words (126 substitutions, 105 deletions, 13 insertions) |
| Transcript embeddings | all-MiniLM-L6-v2, 384 dimensions, 0.84 s for 500 rows |
Hardware: CPU only, 8-core Intel Xeon VM, 15 GB RAM, no GPU. Batch size 8, 8 threads.
Subset
- Source: LibriSpeech test-clean (Panayotov et al., 2015), license CC BY 4.0, downloaded from OpenSLR.
- Subset: the first 500 utterances of test-clean (2,620 total) after sorting by utterance ID. That runs from
1089-134686-0000to1995-1837-0018and covers 8 speakers. - Because only 8 speakers are included, this is not a substitute for a full test-clean benchmark.
WER method
- Computed as corpus-level WER with
jiwer.process_wordsover all 500 pairs. - Both the reference and the hypothesis are normalized first with Whisper's
EnglishTextNormalizer, viaWhisperTokenizer.normalize. This is the standard Whisper evaluation normalizer: it lowercases, removes punctuation, and standardizes spelling, numbers and contractions. - For transparency: lowercase-only WER without that normalization is 16.48%, mostly due to punctuation, because LibriSpeech references have none.
- Each row also has a per-utterance
wer.
Columns
id,speaker_id,chapter_id,duration_sreference: the original LibriSpeech texttranscript: the raw Whisper outputreference_normalized,transcript_normalized,werembedding: all-MiniLM-L6-v2 overtranscript, L2-normalized
Scripts
scripts/transcribe.py takes the model, N and an output prefix; it resumes from a partial JSONL and retries a failed batch once. scripts/score_and_embed.py computes WER and embeddings. Raw stats are in run_stats.json.
Limitations
- Read audiobook speech in clean conditions is easier than calls or meetings, so expect higher WER on real-world audio.
- The subset is the first 500 utterances by ID, not a random sample.
- One long utterance ended early (per-utterance WER 0.80), and proper names make up some errors (for example "Stephanos Dedalos").
- Runtime reflects this specific CPU VM. GPU runs would be much faster.
- Downloads last month
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