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| from multiprocessing import set_start_method |
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| from nemo.collections.asr.data.data_simulation import MultiSpeakerSimulator, RIRMultiSpeakerSimulator |
| from nemo.core.config import hydra_runner |
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| """ |
| This script creates a synthetic diarization session using the provided audio dataset with ctm files. |
| Usage: |
| python <NEMO_ROOT>/tools/speech_data_simulator/multispeaker_simulator.py \ |
| num_workers=10 \ |
| data_simulator.random_seed=42 \ |
| data_simulator.manifest_filepath=manifest_with_alignment_file.json \ |
| data_simulator.outputs.output_dir=./simulated_data \ |
| data_simulator.outputs.output_filename=sim_spk2_sess20 \ |
| data_simulator.session_config.num_sessions=1000 \ |
| data_simulator.session_config.num_speakers=2 \ |
| data_simulator.session_config.session_length=20 \ |
| data_simulator.background_noise.add_bg=False \ |
| data_simulator.background_noise.background_manifest=background_noise.json \ |
| data_simulator.background_noise.snr=40 \ |
| |
| Check out parameters in ./conf/data_simulator.yaml. |
| """ |
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| @hydra_runner(config_path="conf", config_name="data_simulator.yaml") |
| def main(cfg): |
| if cfg.data_simulator.rir_generation.use_rir: |
| simulator = RIRMultiSpeakerSimulator(cfg=cfg) |
| else: |
| simulator = MultiSpeakerSimulator(cfg=cfg) |
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| set_start_method('spawn', force=True) |
| simulator.generate_sessions() |
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| if __name__ == "__main__": |
| main() |
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