Spaces:
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Running
Yurii Paniv
commited on
Commit
•
3e61708
1
Parent(s):
cb6b82c
Add link to Github
Browse files- app.py +3 -2
- vocoder_config.json +0 -185
app.py
CHANGED
@@ -61,7 +61,7 @@ iface = gr.Interface(
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inputs=[
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gr.inputs.Textbox(
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label="Input",
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-
default="
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),
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gr.inputs.Radio(
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label="Виберіть TTS модель",
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@@ -72,6 +72,7 @@ iface = gr.Interface(
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title="🐸💬🇺🇦 - Coqui TTS",
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theme="huggingface",
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description="Україномовний🇺🇦 TTS за допомогою Coqui TTS",
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article="Якщо вам подобається, підтримайте за посиланням: [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm)"
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)
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iface.launch()
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inputs=[
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gr.inputs.Textbox(
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label="Input",
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+
default="Введіть, будь ласка, своє речення.",
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),
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gr.inputs.Radio(
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label="Виберіть TTS модель",
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title="🐸💬🇺🇦 - Coqui TTS",
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theme="huggingface",
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description="Україномовний🇺🇦 TTS за допомогою Coqui TTS",
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+
article="Якщо вам подобається, підтримайте за посиланням: [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm), " +
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+
"Github: [https://github.com/robinhad/ukrainian-tts](https://github.com/robinhad/ukrainian-tts)",
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)
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iface.launch()
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vocoder_config.json
DELETED
@@ -1,185 +0,0 @@
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{
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"model": "multiband_melgan",
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"run_name": "coqui_tts",
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"run_description": "",
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"epochs": 2000,
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"batch_size": 32,
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"eval_batch_size": 16,
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"mixed_precision": true,
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"scheduler_after_epoch": false,
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"run_eval": true,
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"test_delay_epochs": 5,
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"print_eval": false,
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"dashboard_logger": "tensorboard",
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"print_step": 25,
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"plot_step": 100,
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"model_param_stats": false,
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"project_name": null,
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"log_model_step": null,
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"wandb_entity": null,
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"save_step": 10000,
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"checkpoint": true,
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"keep_all_best": false,
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"keep_after": 10000,
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"num_loader_workers": 12,
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"num_eval_loader_workers": 12,
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"use_noise_augment": true,
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"output_path": "/home/robinhad/Projects/TTS/recipes/ljspeech/multiband_melgan",
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"distributed_backend": "nccl",
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"distributed_url": "tcp://localhost:54321",
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"audio": {
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"fft_size": 1024,
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"win_length": 1024,
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"hop_length": 256,
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"frame_shift_ms": null,
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"frame_length_ms": null,
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"stft_pad_mode": "reflect",
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"sample_rate": 16000,
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"resample": false,
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"preemphasis": 0.0,
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"ref_level_db": 20,
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"do_sound_norm": false,
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"log_func": "np.log10",
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"do_trim_silence": true,
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"trim_db": 45,
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"power": 1.5,
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"griffin_lim_iters": 60,
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"num_mels": 80,
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"mel_fmin": 0.0,
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"mel_fmax": null,
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"spec_gain": 20,
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"do_amp_to_db_linear": true,
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"do_amp_to_db_mel": true,
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"signal_norm": true,
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"min_level_db": -100,
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"symmetric_norm": true,
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"max_norm": 4.0,
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"clip_norm": true,
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"stats_path": null
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},
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"eval_split_size": 10,
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"data_path": "../Data/uk_UK/by_book/female",
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"feature_path": null,
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"seq_len": 8192,
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"pad_short": 2000,
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"conv_pad": 0,
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"use_cache": true,
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"wd": 0.0,
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"optimizer": "AdamW",
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"optimizer_params": {
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"betas": [
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0.8,
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0.99
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],
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"weight_decay": 0.0
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},
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"use_stft_loss": true,
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"use_subband_stft_loss": true,
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"use_mse_gan_loss": true,
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"use_hinge_gan_loss": false,
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"use_feat_match_loss": false,
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"use_l1_spec_loss": false,
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"stft_loss_weight": 0.5,
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"subband_stft_loss_weight": 0,
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"mse_G_loss_weight": 2.5,
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"hinge_G_loss_weight": 0,
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"feat_match_loss_weight": 108,
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"l1_spec_loss_weight": 0,
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"stft_loss_params": {
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"n_ffts": [
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1024,
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2048,
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512
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],
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"hop_lengths": [
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120,
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240,
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50
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],
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"win_lengths": [
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600,
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1200,
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240
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]
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},
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"l1_spec_loss_params": {
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"use_mel": true,
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"sample_rate": 16000,
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"n_fft": 1024,
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"hop_length": 256,
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"win_length": 1024,
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"n_mels": 80,
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"mel_fmin": 0.0,
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"mel_fmax": null
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},
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"target_loss": "loss_0",
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"grad_clip": [
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5,
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5
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],
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"lr_gen": 0.0001,
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"lr_disc": 0.0001,
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"lr_scheduler_gen": "MultiStepLR",
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"lr_scheduler_gen_params": {
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"gamma": 0.5,
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"milestones": [
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100000,
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200000,
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300000,
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400000,
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500000,
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600000
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]
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},
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"lr_scheduler_disc": "MultiStepLR",
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"lr_scheduler_disc_params": {
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"gamma": 0.5,
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"milestones": [
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100000,
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200000,
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300000,
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400000,
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500000,
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600000
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]
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},
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"use_pqmf": true,
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"diff_samples_for_G_and_D": false,
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"discriminator_model": "melgan_multiscale_discriminator",
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"discriminator_model_params": {
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"base_channels": 16,
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"max_channels": 512,
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"downsample_factors": [
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4,
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4,
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4
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]
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},
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"generator_model": "multiband_melgan_generator",
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"generator_model_params": {
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"upsample_factors": [
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8,
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4,
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2
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],
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"num_res_blocks": 4
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},
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"steps_to_start_discriminator": 200000,
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"subband_stft_loss_params": {
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"n_ffts": [
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384,
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683,
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171
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],
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"hop_lengths": [
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30,
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60,
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10
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],
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"win_lengths": [
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150,
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300,
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60
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]
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}
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}
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