# 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. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. 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= \ diarizer.msdd_model.model_path= \ diarizer.oracle_vad=False \ diarizer.manifest_filepath= \ diarizer.out_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()