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--- |
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tags: |
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- espnet |
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- audio |
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- singing-voice-synthesis |
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language: zh |
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datasets: |
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- opencpop |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 SVS model |
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### `espnet/opencpop_naive_rnn_dp` |
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This model was trained by ftshijt using opencpop recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) |
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if you haven't done that already. |
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```bash |
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cd espnet |
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git checkout 5c4d7cf7feba8461de2e1080bf82182f0efaef38 |
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pip install -e . |
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cd egs2/opencpop/svs1 |
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/opencpop_naive_rnn_dp |
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``` |
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## SVS config |
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<details><summary>expand</summary> |
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``` |
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config: conf/tuning/train_naive_rnn_dp.yaml |
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print_config: false |
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log_level: INFO |
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drop_last_iter: false |
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dry_run: false |
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iterator_type: sequence |
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valid_iterator_type: null |
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output_dir: exp/svs_train_naive_rnn_dp_raw_phn_None_zh |
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ngpu: 1 |
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seed: 0 |
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num_workers: 8 |
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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: 2 |
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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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create_graph_in_tensorboard: false |
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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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use_lora: false |
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save_lora_only: true |
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lora_conf: {} |
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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: null |
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batch_size: 16 |
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valid_batch_size: null |
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batch_bins: 1000000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/svs_stats_raw_phn_None_zh/train/text_shape.phn |
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- exp/svs_stats_raw_phn_None_zh/train/singing_shape |
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valid_shape_file: |
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- exp/svs_stats_raw_phn_None_zh/valid/text_shape.phn |
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- exp/svs_stats_raw_phn_None_zh/valid/singing_shape |
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batch_type: sorted |
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valid_batch_type: null |
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fold_length: |
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- 150 |
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- 240000 |
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sort_in_batch: descending |
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shuffle_within_batch: false |
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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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chunk_excluded_key_prefixes: [] |
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chunk_default_fs: null |
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train_data_path_and_name_and_type: |
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- - dump24k/raw/tr_no_dev/text |
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- text |
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- text |
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- - dump24k/raw/tr_no_dev/wav.scp |
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- singing |
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- sound |
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- - dump24k/raw/tr_no_dev/label |
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- label |
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- duration |
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- - dump24k/raw/tr_no_dev/score.scp |
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- score |
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- score |
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- - exp/svs_stats_raw_phn_None_zh/train/collect_feats/pitch.scp |
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- pitch |
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- npy |
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- - exp/svs_stats_raw_phn_None_zh/train/collect_feats/feats.scp |
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- feats |
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- npy |
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valid_data_path_and_name_and_type: |
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- - dump24k/raw/dev/text |
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- text |
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- text |
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- - dump24k/raw/dev/wav.scp |
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- singing |
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- sound |
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- - dump24k/raw/dev/label |
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- label |
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- duration |
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- - dump24k/raw/dev/score.scp |
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- score |
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- score |
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- - exp/svs_stats_raw_phn_None_zh/valid/collect_feats/pitch.scp |
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- pitch |
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- npy |
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- - exp/svs_stats_raw_phn_None_zh/valid/collect_feats/feats.scp |
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- feats |
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- npy |
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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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allow_multi_rates: false |
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valid_max_cache_size: null |
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exclude_weight_decay: false |
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exclude_weight_decay_conf: {} |
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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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- SP |
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- i |
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- AP |
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- e |
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- y |
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- d |
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- w |
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- sh |
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- ai |
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- n |
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- x |
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- j |
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- ian |
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- u |
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- l |
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- h |
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- b |
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- o |
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- zh |
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- an |
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- ou |
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- m |
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- q |
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- z |
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- en |
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- g |
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- ing |
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- ei |
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- ao |
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- ang |
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- uo |
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- eng |
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- t |
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- a |
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- ong |
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- ui |
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- k |
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- f |
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- r |
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- iang |
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- ch |
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- v |
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- in |
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- iao |
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- ie |
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- iu |
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- c |
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- s |
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- van |
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- p |
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- ve |
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- uan |
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- uang |
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- ia |
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- ua |
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- uai |
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- un |
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- er |
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- vn |
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- iong |
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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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fs: 24000 |
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score_feats_extract: syllable_score_feats |
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score_feats_extract_conf: |
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fs: 24000 |
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n_fft: 2048 |
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win_length: 1200 |
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hop_length: 300 |
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feats_extract: fbank |
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feats_extract_conf: |
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n_fft: 2048 |
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hop_length: 300 |
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win_length: 1200 |
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fs: 24000 |
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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/svs_stats_raw_phn_None_zh/train/feats_stats.npz |
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svs: naive_rnn_dp |
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svs_conf: |
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midi_dim: 129 |
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embed_dim: 512 |
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duration_dim: 512 |
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eprenet_conv_layers: 0 |
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eprenet_conv_chans: 256 |
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eprenet_conv_filts: 3 |
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elayers: 3 |
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eunits: 256 |
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ebidirectional: true |
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midi_embed_integration_type: add |
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dlayers: 2 |
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dunits: 256 |
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dbidirectional: true |
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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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use_batch_norm: true |
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reduction_factor: 1 |
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eprenet_dropout_rate: 0.2 |
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edropout_rate: 0.1 |
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ddropout_rate: 0.1 |
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postnet_dropout_rate: 0.5 |
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init_type: pytorch |
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use_masking: true |
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pitch_extract: dio |
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pitch_extract_conf: |
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use_token_averaged_f0: false |
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fs: 24000 |
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n_fft: 2048 |
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hop_length: 300 |
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f0max: 800 |
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f0min: 80 |
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reduction_factor: 1 |
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pitch_normalize: global_mvn |
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pitch_normalize_conf: |
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stats_file: exp/svs_stats_raw_phn_None_zh/train/pitch_stats.npz |
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ying_extract: null |
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ying_extract_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: '202310' |
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distributed: false |
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``` |
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</details> |
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### Citing ESPnet |
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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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@inproceedings{shi22d_interspeech, |
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author={Jiatong Shi and Shuai Guo and Tao Qian and Tomoki Hayashi and Yuning Wu and Fangzheng Xu and Xuankai Chang and Huazhe Li and Peter Wu and Shinji Watanabe and Qin Jin}, |
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title={{Muskits: an End-to-end Music Processing Toolkit for Singing Voice Synthesis}}, |
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year=2022, |
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booktitle={Proc. Interspeech 2022}, |
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pages={4277--4281}, |
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doi={10.21437/Interspeech.2022-10039} |
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} |
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``` |
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or arXiv: |
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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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