pretrained/bigvgan/args.json

{
    "base_config": "egs/vocoder/gan/exp_config_base.json",
    "exp_name": "bigvgan_large",
    "inference": {
        "batch_size": 1,
    },
    "model": {
        "bigvgan": {
            "activation": "snakebeta",
            "resblock": "1",
            "resblock_dilation_sizes": [
                [
                    1,
                    3,
                    5,
                ],
                [
                    1,
                    3,
                    5,
                ],
                [
                    1,
                    3,
                    5,
                ],
            ],
            "resblock_kernel_sizes": [
                3,
                7,
                11,
            ],
            "snake_logscale": true,
            "upsample_initial_channel": 1536,
            "upsample_kernel_sizes": [
                8,
                8,
                4,
                4,
                4,
                4,
            ],
            "upsample_rates": [
                4,
                4,
                2,
                2,
                2,
                2,
            ],
        },
        "discriminators": [
            "mpd",
            "msstftd",
        ],
        "generator": "bigvgan",
        "mpd": {
            "discriminator_channel_multi": 1,
            "mpd_reshapes": [
                2,
                3,
                5,
                7,
                11,
            ],
            "use_spectral_norm": false,
        },
        "mrd": {
            "discriminator_channel_multi": 1,
            "mrd_override": false,
            "resolutions": [
                [
                    1024,
                    120,
                    600,
                ],
                [
                    2048,
                    240,
                    1200,
                ],
                [
                    512,
                    50,
                    240,
                ],
            ],
            "use_spectral_norm": false,
        },
        "msstftd": {
            "filters": 32,
        },
    },
    "model_type": "GANVocoder",
    "preprocess": {
        "audio_dir": "audios",
        "bits": 8,
        "contentvec_dir": "contentvec",
        "cut_mel_frame": 32,
        "data_augment": false,
        "dur_dir": "durs",
        "duration_dir": "duration",
        "emo2id": "emo2id.json",
        "energy_dir": "energys",
        "energy_extract_mode": "from_mel",
        "energy_norm": false,
        "extract_audio": true,
        "extract_contentvec_feature": false,
        "extract_duration": false,
        "extract_energy": false,
        "extract_label": false,
        "extract_mcep": false,
        "extract_mel": true,
        "extract_mert_feature": false,
        "extract_one_hot": false,
        "extract_pitch": false,
        "extract_uv": false,
        "extract_wenet_feature": false,
        "extract_whisper_feature": false,
        "f0_max": 1100,
        "f0_min": 50,
        "file_lst": "file.lst",
        "fmax": 12000,
        "fmin": 0,
        "hop_size": 256,
        "is_mu_law": false,
        "lab_dir": "labs",
        "label_dir": "labels",
        "mcep_dir": "mcep",
        "mel_dir": "mels",
        "mel_min_max_norm": false,
        "min_level_db": -115,
        "n_fft": 1024,
        "n_mel": 100,
        "num_silent_frames": 8,
        "phone_seq_file": "phone_seq_file",
        "pitch_bin": 256,
        "pitch_dir": "pitches",
        "pitch_extractor": "parselmouth",
        "pitch_max": 1100.0,
        "pitch_min": 50.0,
        "pitch_norm": false,
        "processed_dir": "processed_data",
        "ref_level_db": 20,
        "sample_rate": 24000,
        "spk2id": "singers.json",
        "train_file": "train.json",
        "trim_fft_size": 512,
        "trim_hop_size": 128,
        "trim_silence": false,
        "trim_top_db": 30,
        "trimmed_wav_dir": "trimmed_wavs",
        "use_audio": true,
        "use_dur": false,
        "use_emoid": false,
        "use_frame_duration": false,
        "use_frame_energy": false,
        "use_frame_pitch": false,
        "use_lab": false,
        "use_label": false,
        "use_log_scale_energy": false,
        "use_log_scale_pitch": false,
        "use_mel": true,
        "use_one_hot": false,
        "use_phn_seq": false,
        "use_phone_duration": false,
        "use_phone_energy": false,
        "use_phone_pitch": false,
        "use_spkid": false,
        "use_uv": false,
        "use_wav": false,
        "use_wenet": false,
        "utt2emo": "utt2emo",
        "utt2spk": "utt2spk",
        "uv_dir": "uvs",
        "valid_file": "test.json",
        "wav_dir": "wavs",
        "wenet_dir": "wenet",
        "win_size": 1024,
    },
    "supported_model_type": [
        "GANVocoder",
        "Fastspeech2",
        "DiffSVC",
        "Transformer",
        "EDM",
        "CD",
    ],
    "train": {
        "adamw": {
            "adam_b1": 0.8,
            "adam_b2": 0.99,
            "lr": 0.0002,
        },
        "batch_size": 4,
        "criterions": [
            "feature",
            "discriminator",
            "generator",
            "mel",
        ],
        "dataloader": {
            "num_worker": 4,
            "pin_memory": true,
        },
        "ddp": true,
        "epochs": 50000,
        "exponential_lr": {
            "lr_decay": 0.999,
        },
        "gradient_accumulation_step": 1,
        "keep_checkpoint_max": 5,
        "max_epoch": 1000000,
        "max_steps": 1000000,
        "multi_speaker_training": false,
        "random_seed": 114514,
        "run_eval": [
            true,
        ],
        "sampler": {
            "drop_last": true,
            "holistic_shuffle": true,
        },
        "save_checkpoint_stride": [
            200,
        ],
        "save_checkpoints_steps": 10000,
        "save_summary_steps": 500,
        "total_training_steps": 50000,
        "tracker": [
            "tensorboard",
        ],
        "valid_interval": 10000,
    },
}