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gstar_streaming_sortformer_8spk_v0
G-STAR-SA-ASR/gstar_streaming_sortformer_8spk_v0
gstar_streaming_sortformer_8spk_v0 is a machine learning model from G-STAR-SA-ASR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for nemo.
This repository provides a fine‑tuned checkpoint of Streaming Sortformer (Medennikov et al., 2025) that supports up to 8 concurrent speakers in a meeting or conversational scenario. The model performs online speaker d…
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At a glance
- Library
- nemo
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- ab3d4136
Base models
Model card
From the Hugging Face model README
Streaming Sortformer – 8‑Speaker Fine‑tuned Checkpoint
This repository provides a fine‑tuned checkpoint of Streaming Sortformer (Medennikov et al., 2025) that supports up to 8 concurrent speakers in a meeting or conversational scenario. The model performs online speaker diarization and tracking with an Arrival‑Order Speaker Cache (AOSC), which maintains consistent speaker identities across chunks without re‑indexing.
Key features
- Supports up to 8 speakers per meeting.
- Cross‑chunk identity persistence via AOSC.
- Fine‑tuned on English and Chinese real‑world data.
- Designed for chunk‑wise / streaming inference.
Usage
Load the checkpoint with the official Streaming Sortformer codebase. The model accepts audio chunks and outputs frame‑synchronous speaker activity with stable global labels.
- Library
- nemo
- Languages
- zh, en
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026