Text-to-Speech
ESPnet
Icelandic
audio
Gunnar Thor commited on
Commit
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1 Parent(s): dde9958

Add model files

Browse files
README.md ADDED
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+ ---
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+ tags:
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+ - espnet
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+ - audio
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+ - text-to-speech
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+ language: is
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+ datasets:
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+ - talromur2
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+ license: cc-by-4.0
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+ ---
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+
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+ ## ESPnet2 TTS model
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+
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+ ### ``
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+
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+ This model was trained by using recipe in [espnet](https://github.com/espnet/espnet/).
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+
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+ ### Demo: How to use in ESPnet2
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+
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+ ```bash
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+ cd espnet
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+
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+ pip install -e .
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+ cd talromur2/tts1/talromur2_xvector_tacotron2
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+ ./run.sh --skip_data_prep false --skip_train true --download_model
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+ ```
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+
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+
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+
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+ ## TTS config
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+
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+ <details><summary>expand</summary>
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+
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+ ```
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+ config: ./conf/tuning/train_xvector_tacotron2.yaml
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+ print_config: false
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+ log_level: INFO
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+ dry_run: false
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+ iterator_type: sequence
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+ output_dir: exp/tts_train_xvector_tacotron2_raw_phn_none
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+ ngpu: 1
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+ seed: 0
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+ num_workers: 1
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+ num_att_plot: 3
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+ dist_backend: nccl
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+ dist_init_method: env://
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+ dist_world_size: null
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+ dist_rank: null
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+ local_rank: 0
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+ dist_master_addr: null
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+ dist_master_port: null
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+ dist_launcher: null
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+ multiprocessing_distributed: false
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+ unused_parameters: false
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+ sharded_ddp: false
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+ cudnn_enabled: true
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+ cudnn_benchmark: false
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+ cudnn_deterministic: true
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+ collect_stats: false
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+ write_collected_feats: false
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+ max_epoch: 500
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+ patience: null
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+ val_scheduler_criterion:
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+ - valid
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+ - loss
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+ early_stopping_criterion:
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+ - valid
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+ - loss
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+ - min
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+ best_model_criterion:
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+ - - valid
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+ - loss
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+ - min
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+ - - train
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+ - loss
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+ - min
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+ keep_nbest_models: 5
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+ nbest_averaging_interval: 0
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+ grad_clip: 1.0
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+ grad_clip_type: 2.0
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+ grad_noise: false
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+ accum_grad: 1
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+ no_forward_run: false
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+ resume: true
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+ train_dtype: float32
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+ use_amp: false
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+ log_interval: null
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+ use_matplotlib: true
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+ use_tensorboard: true
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+ use_wandb: false
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+ wandb_project: null
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+ wandb_id: null
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+ wandb_entity: null
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+ wandb_name: null
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+ wandb_model_log_interval: -1
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+ detect_anomaly: false
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+ pretrain_path: null
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+ init_param: []
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+ ignore_init_mismatch: false
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+ freeze_param: []
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+ num_iters_per_epoch: 500
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+ batch_size: 20
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+ valid_batch_size: null
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+ batch_bins: 3750000
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+ valid_batch_bins: null
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+ train_shape_file:
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+ - exp/tts_stats_raw_phn_none/train/text_shape.phn
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+ - exp/tts_stats_raw_phn_none/train/speech_shape
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+ valid_shape_file:
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+ - exp/tts_stats_raw_phn_none/valid/text_shape.phn
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+ - exp/tts_stats_raw_phn_none/valid/speech_shape
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+ batch_type: numel
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+ valid_batch_type: null
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+ fold_length:
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+ - 150
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+ - 204800
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+ sort_in_batch: descending
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+ sort_batch: descending
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+ multiple_iterator: false
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+ chunk_length: 500
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+ chunk_shift_ratio: 0.5
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+ num_cache_chunks: 1024
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+ train_data_path_and_name_and_type:
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+ - - dump/raw/train_phn/text
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+ - text
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+ - text
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+ - - dump/raw/train_phn/wav.scp
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+ - speech
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+ - sound
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+ - - dump/xvector/train_phn/xvector.scp
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+ - spembs
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+ - kaldi_ark
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+ valid_data_path_and_name_and_type:
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+ - - dump/raw/dev_phn/text
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+ - text
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+ - text
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+ - - dump/raw/dev_phn/wav.scp
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+ - speech
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+ - sound
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+ - - dump/xvector/dev_phn/xvector.scp
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+ - spembs
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+ - kaldi_ark
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+ allow_variable_data_keys: false
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+ max_cache_size: 0.0
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+ max_cache_fd: 32
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+ valid_max_cache_size: null
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+ optim: adam
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+ optim_conf:
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+ lr: 0.001
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+ eps: 1.0e-06
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+ weight_decay: 0.0
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+ scheduler: null
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+ scheduler_conf: {}
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+ token_list:
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+ - <blank>
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+ - <unk>
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+ - r
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+ - a
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+ - t
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+ - I
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+ - n
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+ - s
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+ - D
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+ - Y
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+ - E
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+ - l
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+ - v
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+ - m
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+ - h
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+ - k
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+ - 'a:'
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+ - j
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+ - 'E:'
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+ - T
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+ - f
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+ - G
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+ - p
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+ - 'i:'
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+ - 'au:'
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+ - c
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+ - 'O:'
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+ - i
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+ - r_0
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+ - 'I:'
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+ - t_h
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+ - ei
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+ - O
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+ - k_h
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+ - ou
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+ - '9'
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+ - 'u:'
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+ - ai
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+ - au
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+ - 'ou:'
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+ - u
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+ - 'ei:'
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+ - l_0
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+ - N
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+ - n_0
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+ - '9:'
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+ - p_h
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+ - 'ai:'
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+ - c_h
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+ - 9i
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+ - C
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+ - '9i:'
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+ - x
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+ - 'Y:'
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+ - N_0
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+ - J
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+ - m_0
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+ - Yi
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+ - Oi
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+ - J_0
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+ - <sos/eos>
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+ odim: null
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+ model_conf: {}
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+ use_preprocessor: true
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+ token_type: phn
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+ bpemodel: null
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+ non_linguistic_symbols: null
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+ cleaner: null
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+ g2p: null
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+ feats_extract: fbank
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+ feats_extract_conf:
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+ n_fft: 1024
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+ hop_length: 256
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+ win_length: null
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+ fs: 22050
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+ fmin: 80
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+ fmax: 7600
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+ n_mels: 80
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+ normalize: global_mvn
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+ normalize_conf:
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+ stats_file: exp/tts_stats_raw_phn_none/train/feats_stats.npz
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+ tts: tacotron2
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+ tts_conf:
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+ embed_dim: 512
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+ elayers: 1
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+ eunits: 512
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+ econv_layers: 3
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+ econv_chans: 512
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+ econv_filts: 5
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+ atype: location
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+ adim: 512
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+ aconv_chans: 32
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+ aconv_filts: 15
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+ cumulate_att_w: true
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+ dlayers: 2
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+ dunits: 1024
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+ prenet_layers: 2
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+ prenet_units: 256
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+ postnet_layers: 5
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+ postnet_chans: 512
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+ postnet_filts: 5
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+ output_activation: null
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+ use_batch_norm: true
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+ use_concate: true
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+ use_residual: false
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+ spk_embed_dim: 512
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+ spk_embed_integration_type: add
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+ dropout_rate: 0.5
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+ zoneout_rate: 0.1
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+ reduction_factor: 1
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+ use_masking: true
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+ bce_pos_weight: 10.0
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+ use_guided_attn_loss: true
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+ guided_attn_loss_sigma: 0.4
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+ guided_attn_loss_lambda: 1.0
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+ pitch_extract: null
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+ pitch_extract_conf: {}
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+ pitch_normalize: null
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+ pitch_normalize_conf: {}
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+ energy_extract: null
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+ energy_extract_conf: {}
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+ energy_normalize: null
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+ energy_normalize_conf: {}
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+ required:
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+ - output_dir
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+ - token_list
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+ version: '202204'
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+ distributed: false
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+ ```
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+
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+ </details>
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+
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+
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+
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+ ### Citing ESPnet
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+
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+ ```BibTex
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+ @inproceedings{watanabe2018espnet,
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+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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+ title={{ESPnet}: End-to-End Speech Processing Toolkit},
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+ year={2018},
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+ booktitle={Proceedings of Interspeech},
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+ pages={2207--2211},
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+ doi={10.21437/Interspeech.2018-1456},
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+ url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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+ }
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+
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+
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+
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+
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+ @inproceedings{hayashi2020espnet,
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+ title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
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+ author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
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+ booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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+ pages={7654--7658},
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+ year={2020},
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+ organization={IEEE}
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+ }
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+ ```
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+
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+ or arXiv:
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+
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+ ```bibtex
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+ @misc{watanabe2018espnet,
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+ title={ESPnet: End-to-End Speech Processing Toolkit},
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+ author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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+ year={2018},
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+ eprint={1804.00015},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
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