Instructions to use G-STAR-SA-ASR/gstar_streaming_sortformer_8spk_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use G-STAR-SA-ASR/gstar_streaming_sortformer_8spk_v0 with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
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.
- Downloads last month
- 20
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for G-STAR-SA-ASR/gstar_streaming_sortformer_8spk_v0
Base model
nvidia/diar_streaming_sortformer_4spk-v2.1