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Trelis/chorus-v1-ami-2speaker-test-preds

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Hugging Face2026-04-18 更新2026-05-10 收录
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https://hf-mirror.com/datasets/Trelis/chorus-v1-ami-2speaker-test-preds
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--- license: cc-by-4.0 tags: - predictions - multi-speaker - chorus - ami - benchmark source_datasets: - Trelis/ami-2speaker-test --- # Chorus v1 — Predictions on AMI 2-Speaker Test **Need a voice model for your domain?** Trelis builds custom ASR, TTS, and voice agent pipelines for specialist verticals (legal, medical, finance, construction) and low-resource languages. [Enquire or book a consultation →](https://trelis.com/voice-ai-services/) Per-row predictions from [`Trelis/Chorus-v1`](https://huggingface.co/Trelis/Chorus-v1) on [`Trelis/ami-2speaker-test`](https://huggingface.co/datasets/Trelis/ami-2speaker-test). Browse in the HF viewer to play the audio and compare ref vs pred for every clip. ## Aggregate metrics | Metric | Speaker 1 | Speaker 2 | Mean | |---|---|---|---| | CER | 8.58% | 10.12% | **9.35%** | | CMER | 8.32% | 9.69% | **9.00%** | ## Schema Each row contains: - `audio` — the mixed 2-speaker clip - `speaker1_ref` / `speaker1_pred` / `speaker1_cer` / `speaker1_cmer` - `speaker2_ref` / `speaker2_pred` / `speaker2_cer` / `speaker2_cmer` - `duration_s`, `overlap_ratio`, `loudness_db` Sort by `speaker2_cer` descending in the viewer to surface the hardest failures first. ## License CC-BY 4.0, inherited from the AMI source data.
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