Automatic Speech Recognition
NeMo
Safetensors
PyTorch
sortformer
speaker-diarization
speaker-recognition
speech
audio
Transformer
FastConformer
Conformer
NEST
NeMo
Eval Results (legacy)
Instructions to use nvidia/diar_sortformer_4spk-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/diar_sortformer_4spk-v1 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/diar_sortformer_4spk-v1") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: automatic-speech-recognition
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# Sortformer Diarizer 4spk v1
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# 🚨 Announcement: New Model Version Available
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A new version of Sortformer diarization model [Nemotron-3-Diarization](https://huggingface.co/nvidia/nemotron-3-diarization) has been released, supporting 8 speakers and greatly improved accuracy.
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