Freeze the speech report against the commit that fixes the prose
The report is regenerated after 10a39c5 so its stamp names the code it
describes. Speed is quoted as a range in the checklist because transcribe
seconds move with machine load (3.26s then 3.12s on this box) while WER,
denominators and word counts do not move at all.
Numbers: 258.18s of audio, WER 0.242 over 533 reference words, 80 audio atoms
and 563 word timestamps read back from the store, 0 out of order and 0 before
their own segment measured on the stored words.
This commit is contained in:
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10a39c5125
commit
2fa91abbc5
3 files changed
+31
-22
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+14
-12
@@ -1,6 +1,6 @@
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{
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"generated_utc": "2026-10-08T02:24:47+00:00",
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"commit": "709104e80915e43a1095a270a87f09cbb611d51b",
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"generated_utc": "2026-10-08T02:37:10+00:00",
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"commit": "10a39c5125ebaf73e0ff7174b3af7af4c32bcf05",
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"model": {
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"id": "Systran/faster-whisper-tiny",
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"sha256_model_bin": "dcb76c6586fc06cbdac6dd21f14cfd129cc4cdd9dce19bf4ffa62e59cbe6e6d1",
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@@ -21,9 +21,9 @@
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"cpus": 32,
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"threads_per_query": 4,
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"load_average_1_5_15": [
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9.65,
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2.54,
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0.88
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7.73,
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2.66,
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1.58
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]
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},
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"passes": {
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@@ -54,7 +54,7 @@
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"totals": {
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"videos": 3,
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"audio_seconds": 258.18,
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"transcribe_seconds": 3.26,
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"transcribe_seconds": 3.12,
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"word_error_rate": 0.242,
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"reference_words": 533,
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"hypothesis_words": 563,
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@@ -64,14 +64,16 @@
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"atoms_all": 133,
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"speech_atoms": 80,
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"word_timestamps": 563,
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"sources": 3
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"sources": 3,
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"out_of_order_in_store": 0,
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"before_their_segment_in_store": 0
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},
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"videos": [
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{
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"video": "0IdYJGBmguM",
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"seconds": 88.93,
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"transcribe_seconds": 1.39,
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"real_time_factor": 63.9,
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"transcribe_seconds": 1.3,
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"real_time_factor": 68.4,
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"segments": 38,
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"reference_words": 201,
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"hypothesis_words": 219,
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@@ -85,8 +87,8 @@
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{
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"video": "1q-5IIyZL20",
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"seconds": 109.18,
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"transcribe_seconds": 1.33,
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"real_time_factor": 82.4,
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"transcribe_seconds": 1.28,
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"real_time_factor": 85.4,
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"segments": 39,
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"reference_words": 296,
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"hypothesis_words": 313,
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@@ -101,7 +103,7 @@
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"video": "1tidNDIpKSY",
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"seconds": 60.07,
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"transcribe_seconds": 0.54,
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"real_time_factor": 112.2,
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"real_time_factor": 111.2,
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"segments": 3,
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"reference_words": 36,
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"hypothesis_words": 31,
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