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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

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YAML

name: &name "SpeakerIdentificationInfer"
data:
enrollment_manifest: ???
test_manifest: ???
out_manifest: './infer_output.json'
sample_rate: 16000
backend:
backend_model: cosine_similarity # supported backends are cosine_similarity and neural_classifier
cosine_similarity:
model_path: titanet_large # or path to .nemo file
batch_size: 32
neural_classifier:
model_path: ??? # path to neural model trained/finetuned with enrollment dataset
batch_size: 32
# json manifest line example
#
# enrollment_manifest:
# {"audio_filepath": "/path/to/audio_file", "offset": 0, "duration": null, "label": "<speaker_label>"}
#
# test_manifest:
# {"audio_filepath": "/path/to/audio_file", "offset": 0, "duration": null, "label": "infer"}
#