Tiron — Meeting Transcription & Diarization
Collection
Transcribe whole meetings with speaker attribution: open-weights model, benchmark meetings, replication tooling. • 2 items • Updated
corpus stringclasses 1
value | meeting_id stringclasses 4
values | audio dict | utterances_json stringclasses 4
values | unknown_spans_json stringclasses 1
value | duration_s float32 839 2.14k |
|---|---|---|---|---|---|
ami | ES2004a | {"bytes":"UklGRnphAAJXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YVZhAALw/+X/+P/2//T/BwALABAAGAAgABUA//(...TRUNCATED) | "[{\"speaker_id\": \"ES2004a.A\", \"begin_time\": 0.0, \"end_time\": 1.792, \"text\": \"Hmm hmm hmm.(...TRUNCATED) | [] | 1,049.349976 |
ami | IS1009a | {"bytes":"UklGRs6qmQFXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YaqqmQHw/wL/wf6o/oz+sP6d/oX+mP5o/mb+R/(...TRUNCATED) | "[{\"speaker_id\": \"IS1009a.A\", \"begin_time\": 54.928, \"end_time\": 60.88, \"text\": \"Okay. Eve(...TRUNCATED) | [] | 839 |
ami | TS3003a | {"bytes":"UklGRngt3wJXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0YVQt3wIAAAQADQAWACIAJQAuADoAPQBEAEsASw(...TRUNCATED) | "[{\"speaker_id\": \"TS3003a.A\", \"begin_time\": 13.32, \"end_time\": 27.181, \"text\": \"So uh goo(...TRUNCATED) | [] | 1,505.640015 |
ami | EN2002a | {"bytes":"UklGRtA+FgRXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAAZGF0Yaw+FgT5/wkAEgD9/+//3v/U/+P/7P/q/9D/7f(...TRUNCATED) | "[{\"speaker_id\": \"EN2002a.D\", \"begin_time\": 0.0, \"end_time\": 1.901, \"text\": \"Funky sh stu(...TRUNCATED) | [] | 2,142.709961 |
Tiron evaluation meetings
The 17 held-out whole meetings used for the benchmarks on the Trelis/tiron model card — far-field single-channel audio (16 kHz mono WAV) with reference speaker-attributed transcripts, packaged so results can be reproduced with the Tiron harness.
| split | meetings | source |
|---|---|---|
ami |
ES2004a, IS1009a, TS3003a, EN2002a | AMI Meeting Corpus, single distant microphone (Array1-01) |
icsi |
Bmr013, Bmr018, Bro021 | ICSI Meeting Corpus, mean of 4 distant PZM room microphones |
notsofar |
10 MTG_* sessions | NOTSOFAR-1 eval set, one single-channel distant device per meeting |
Each row: corpus, meeting_id, audio (whole-meeting 16 kHz mono WAV),
utterances_json (list of {speaker_id, begin_time, end_time, text} reference
utterances on the same timeline), unknown_spans_json (NOTSOFAR only:
[start, end] spans of annotator-<UNKNOWN/> stretches, used by the masking
rule), duration_s.
Licenses and attribution (all CC BY 4.0)
- AMI Meeting Corpus — © University of Edinburgh and the AMI consortium, CC BY 4.0. Carletta et al., The AMI meeting corpus: a pre-announcement (MLMI 2005). Audio unmodified (Array1-01 distant channel); transcripts converted from the NXT annotations to a flat utterance list.
- ICSI Meeting Corpus — © International Computer Science Institute, CC BY 4.0. Janin et al., The ICSI meeting corpus (ICASSP 2003). Change note: audio is a mean-downmix of four distant PZM room-microphone channels (chanE/chanF/chan6/chan7); transcripts converted from MRT.
- NOTSOFAR-1 — © Microsoft,
CC BY 4.0.
Vinnikov et al., NOTSOFAR-1 Challenge (2024). Audio unmodified (one
single-channel distant device per session, chosen deterministically);
references from
gt_transcription.json.
Scoring convention used on the model card (cpWER, pooled per corpus, and the
NOTSOFAR <UNKNOWN/> masking rule) is implemented in the
harness repo's eval scripts.
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