| New file |
| | |
| | | # network architecture |
| | | # encoder related |
| | | encoder: eend_ola_transformer |
| | | encoder_conf: |
| | | idim: 345 |
| | | n_layers: 4 |
| | | n_units: 256 |
| | | |
| | | # encoder-decoder attractor related |
| | | encoder_decoder_attractor: eda |
| | | encoder_decoder_attractor_conf: |
| | | n_units: 256 |
| | | |
| | | # model related |
| | | model: eend_ola |
| | | model_conf: |
| | | max_n_speaker: 8 |
| | | |
| | | # optimization related |
| | | accum_grad: 1 |
| | | grad_clip: 5 |
| | | max_epoch: 100 |
| | | val_scheduler_criterion: |
| | | - valid |
| | | - loss |
| | | best_model_criterion: |
| | | - - valid |
| | | - loss |
| | | - min |
| | | keep_nbest_models: 100 |
| | | |
| | | optim: adam |
| | | optim_conf: |
| | | lr: 1.0 |
| | | betas: |
| | | - 0.9 |
| | | - 0.98 |
| | | eps: 1.0e-9 |
| | | scheduler: noamlr |
| | | scheduler_conf: |
| | | model_size: 256 |
| | | warmup_steps: 100000 |
| | | |
| | | dataset_conf: |
| | | data_names: speech_speaker_labels |
| | | data_types: kaldi_ark |
| | | batch_conf: |
| | | batch_type: unsorted |
| | | batch_size: 64 |
| | | num_workers: 8 |
| | | |
| | | log_interval: 50 |