additional_config: conf/vtn.tts_pt.v1.ppg_sxliu.yaml allow_cache: true batch_size: 16 cleaner: tacotron collater_type: ARVCCollater config: exp/TXHC_bdl_1032_debug/original_config.yml criterions: Seq2SeqLoss: bce_pos_weight: 10.0 dev_dp_input_dir: null dev_dumpdir: dump/dev/ppg_sxliu_norm dev_duration_dir: null dev_text: data/dev/text distributed: false eval_interval_steps: 500 feat_type: ppg_sxliu fft_size: 1024 fmax: 7600 fmin: 80 format: hdf5 freeze-mods: null g2p: g2p_en global_gain_scale: 1.0 grad_norm: 1.0 hop_size: 256 inference: maxlenratio: 6.0 minlenratio: 0.0 threshold: 0.5 init-mods: - encoder - decoder - feat_out - prob_out - postnet init_checkpoint: exp/TXHC_bdl_1032_debug/original_checkpoint-50000steps.pkl log_interval_steps: 10 model_params: adim: 384 aheads: 4 decoder_concat_after: false decoder_normalize_before: false decoder_reduction_factor: 2 dlayers: 6 dprenet_layers: 2 dprenet_units: 256 dunits: 1536 elayers: 6 encoder_concat_after: false encoder_normalize_before: true eunits: 1536 idim: 144 odim: 144 postnet_chans: 256 postnet_filts: 5 postnet_layers: 5 use_batch_norm: true model_type: VTN non_linguistic_symbols: none num_mels: 80 num_save_intermediate_results: 4 num_workers: 2 optimizer_params: lr: 8.0e-05 optimizer_type: Adam outdir: exp/TXHC_bdl_1032_debug pin_memory: true pretrain: '' rank: 0 resume: '' sampling_rate: 16000 save_interval_steps: 1000 scheduler: warmuplr scheduler_params: warmup_steps: 4000 seq2seq_loss_params: bce_pos_weight: 10.0 src_dev_dumpdir: dump/TXHC_dev/ppg_sxliu/norm_ljspeech src_feat_type: ppg_sxliu src_train_dumpdir: dump/TXHC_train_1032/ppg_sxliu/norm_ljspeech stats: mean: !!python/object/apply:numpy.core.multiarray._reconstruct args: - &id001 !!python/name:numpy.ndarray '' - !!python/tuple - 0 - !!binary | Yg== state: !!python/tuple - 1 - !!python/tuple - 144 - &id002 !!python/object/apply:numpy.dtype args: - f4 - false - true state: !!python/tuple - 3 - < - null - null - null - -1 - -1 - 0 - false - !!binary | 6RzTPXVNQb7seW+/uWClPQCf5DwPGXQ9G1WePo3UFz6KNp4+FW29PKUMYb5cODu+UbHTPWSOQL53 uc48guEYPn4qgT6KxCO/ER4aPgElyT4BsV6+jpz4valJYj54Z4q+di9MvkSt3z2KlVi/lI+kPVRf DD+rzu8+CC1svkHG2ruaX9I9tog+vniP5j2YLva8L589vhSeSL/l4PE9s+6VPJZ2szsyuQi+1Opi PU7OzbxdUNc/RtTqPfLVnL5ASu0+fp6mPuvjLryKgqU9p4hVu2In9T2D1ri+vAz5PHVzzz3ac+G9 Ecu9PZx+Hj6Mrx49kWyAPfqRNj6s4WW+BjmJPlp7+L0eN1g+UzhKPMuUkr7yhl29DwY8viWowbyS iUe9igiJPX+YgT5CNy++JExQvirydT1kAdA9V3TjvcHclz2aklg+QtSYPahhl75+c9U9yzjjvHAm 973nkJm9KkJEPvg9dL2KZYE+GmnxvGzyk75R9c8+KuMGvqXd6r3sxZg9Nv0jPmTSS76EHfe90mGq Pd2alb0BxbW+HNUcPxoIwD16mQ++PkZCvhh8jT5I6Kg/HT1pPUMkWj4dO4I9dePAu3qRqb1s/Zo+ G+Mrvf4WIz+DW7o+yHIePsTqRry9aGk+HVjvPRnqc7xE9S495SlKvOMueD9qdKG+kabJvaV17z3B Q5g8VVjYuvwZbz22gwi+B98XPSBKIz8+dVc+Gq+FPcAYlr301Vw9L0y2vQj5pL36o9Q+sgqHPs++ 3z1xMCQ/ scale: !!python/object/apply:numpy.core.multiarray._reconstruct args: - *id001 - !!python/tuple - 0 - !!binary | Yg== state: !!python/tuple - 1 - !!python/tuple - 144 - *id002 - false - !!binary | OanzPqWL3T4RC9M+kg0VP0g2ED8rY/E+UDTvPrfl2T7xOOA+C97MPp688D4/LvE+r3rbPgGi5z47 MNI+VOHEPgbm2D5gJs0+higRP8sS5z7TvQY/y8rXPnlO1j42lvg++sr0PocB5D5JMtU+2mj0PkBu HD8joiU/1ibePq5jyD4ReO4+CE7YPgbv6j79B7s+euHxPobUxz7c8vc+DhicP9qf6z4SVQA/UpHx Pu6tzD7MChM/1wj3Po76xz4WyEY/wtvdPkRM6T7xdfg+YGXfPnrHAj984tQ+EFTqPqSQCz+O3RI/ Osq/PsgW1j4aDts+Obr9Ppw45z7nNOU+J9DyPt4D+T468Ao/jzEaP9Fq5j7Gb+U+NALCPrPy3j7U BA8/Nl73PiCq0T5qr+Y+FaQVP8+d5j5Ave0+jx7oPlKI6j4q5+U+f//IPqW6DD+UWSE/3WPJPix+ 2D4+kgU/TnYWP7GX1z55iOo+qHP1PgIh3D6zgD4/MHEJP7zp1z5Aqtw+k1X2Pvynyj5PJ88+lhjX PrSi2j5F9fk+du3ZPggsyD6yNNE+lmrDPujPNz8Kscc+mx/0Ppaw/T5UoOk+pjHpPgpgxz5flAI/ MnjSPo190j7X2t8+gmvpPlgnFD9q0CY/u8oQP4ER+D536dc+9LfJPnkQAD/rKMI+i4YIP7xyBz+B nf0+VcTKPqbVAT/ck+I+9uTePhdvAz/UGuo+ahfTPt0/9D7shcQ++VnSPphNzz4Ewvk+DlAoP+91 9j4qV/4+ token_list: exp/phn_tacotron_transformer_tts.v1.ppg_sxliu/tokens.txt token_type: phn train_dp_input_dir: null train_dumpdir: dump/train_no_dev/ppg_sxliu_norm train_duration_dir: null train_max_steps: 50000 train_text: data/train_no_dev/text trainer_type: ARVCTrainer trg_dev_dumpdir: dump/bdl_dev/ppg_sxliu/norm_ljspeech trg_feat_type: ppg_sxliu trg_stats: exp/TXHC_bdl_1032_debug/stats.h5 trg_train_dumpdir: dump/bdl_train_1032/ppg_sxliu/norm_ljspeech trim_frame_size: 2048 trim_hop_size: 512 trim_silence: false trim_threshold_in_db: 60 verbose: 1 version: 0.1.0 vocoder: # checkpoint: /data/group1/z44476r/Experiments/s3prl-vc/egs/l2-arctic/a2o_vc/exp/TXHC_ppg_sxliu_taco2_ar/checkpoint-10000steps.pkl # config: /data/group1/z44476r/Experiments/s3prl-vc/egs/l2-arctic/a2o_vc/exp/TXHC_ppg_sxliu_taco2_ar/config.yml # stats: /data/group1/z44476r/Experiments/s3prl-vc/egs/l2-arctic/a2o_vc/exp/TXHC_ppg_sxliu_taco2_ar/stats.h5 checkpoint: /data/group1/z44476r/Experiments/seq2seq-vc/egs/l2-arctic/lsc/downloads/ppg_sxliu_decoder_plus_pwg_THXC/checkpoint-10000steps.pkl config: /data/group1/z44476r/Experiments/seq2seq-vc/egs/l2-arctic/lsc/downloads/ppg_sxliu_decoder_plus_pwg_THXC/config.yml stats: /data/group1/z44476r/Experiments/seq2seq-vc/egs/l2-arctic/lsc/downloads/ppg_sxliu_decoder_plus_pwg_THXC/stats.h5 vocoder_type: s3prl_vc win_length: null window: hann