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autoregressive_transcription's Introduction

use data/prepare_maestro.sh (from https://github.com/jongwook/onsets-and-frames/blob/master/data/prepare_maestro.sh)

To train:

$python -m transcription.train with model_name=ONF

To transcribe testset:

ONF model

$python -m transcription.inference_onf {model.pt path ex: runs/ONF_gt_nllloss_0.0006_210101-000000/model-1000.pt}

AR model

$python -m transcription.inference_onf {model.pt path ex: runs/ARModel_gt_nllloss_0.0006_210101-000000/model-1000.pt} --save-path=results_ARModel

Evaluation on test set (after transcribe):

$python -m transcription.cal_metrics {inference path ex: results/ARModel} (--rep_type=ONF)

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