examples/speaker_tasks/diarization/neural_diarizer/multiscale_diar_decoder_infer.py

# Copyright (c) 2022, NVIDIA CORPORATION.  All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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from nemo.collections.asr.models.msdd_models import NeuralDiarizer
from nemo.core.config import hydra_runner


"""
Run the entire speaker diarization pipeline: VAD, clustering diarizer for initializing clustering then Multi-scale Diarization Decoder (MSDD).
python multiscale_diar_decoder_infer.py --config-path='../conf/inference' --config-name='diar_infer_telephonic.yaml' \
    diarizer.vad.model_path=<NeMo VAD model path> \
    diarizer.msdd_model.model_path=<NeMo MSDD model path> \
    diarizer.oracle_vad=False \
    diarizer.manifest_filepath=<test_manifest> \
    diarizer.out_dir=<test_temp_dir> \
"""


@hydra_runner(config_path="../conf/inference", config_name="diar_infer_telephonic.yaml")
def main(cfg):
    diarizer_model = NeuralDiarizer(cfg=cfg).to(cfg.device)
    diarizer_model.diarize()


if __name__ == '__main__':
    main()