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maskgct
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{
    "base_config": "config/base.json",
    "task_type": "svc",
    "preprocess": {
        // data augmentations
        "use_pitch_shift": false,
        "use_formant_shift": false,
        "use_time_stretch": false,
        "use_equalizer": false,
        // Online or offline features extraction ("offline" or "online")
        "features_extraction_mode": "offline",
        // acoustic features
        "extract_mel": true,
        "mel_min_max_norm": true,
        "extract_pitch": true,
        "pitch_extractor": "parselmouth",
        "extract_uv": true,
        "extract_energy": true,
        // content features
        "extract_whisper_feature": false,
        "whisper_sample_rate": 16000,
        "extract_contentvec_feature": false,
        "contentvec_sample_rate": 16000,
        "extract_wenet_feature": false,
        "wenet_sample_rate": 16000,
        "extract_mert_feature": false,
        "mert_sample_rate": 16000,
        // Default config for whisper
        "whisper_frameshift": 0.01,
        "whisper_downsample_rate": 2,
        // Default config for content vector
        "contentvec_frameshift": 0.02,
        // Default config for mert
        "mert_model": "m-a-p/MERT-v1-330M",
        "mert_feature_layer": -1,
        "mert_hop_size": 320,
        // 24k
        "mert_frameshit": 0.01333,
        // 10ms
        "wenet_frameshift": 0.01,
        // wenetspeech is 4, gigaspeech is 6
        "wenet_downsample_rate": 4,
        // Default config
        "n_mel": 100,
        "win_size": 1024,
        // todo
        "hop_size": 256,
        "sample_rate": 24000,
        "n_fft": 1024,
        // todo
        "fmin": 0,
        "fmax": 12000,
        // todo
        "f0_min": 50,
        // ~C2
        "f0_max": 1100,
        //1100,    // ~C6(1100), ~G5(800)
        "pitch_bin": 256,
        "pitch_max": 1100.0,
        "pitch_min": 50.0,
        "is_label": true,
        "is_mu_law": true,
        "bits": 8,
        "mel_min_max_stats_dir": "mel_min_max_stats",
        "whisper_dir": "whisper",
        "contentvec_dir": "contentvec",
        "wenet_dir": "wenet",
        "mert_dir": "mert",
        // Extract content features using dataloader
        "pin_memory": true,
        "num_workers": 8,
        "content_feature_batch_size": 16,
        // Features used for model training
        "use_mel": true,
        "use_min_max_norm_mel": true,
        "use_frame_pitch": true,
        "use_uv": true,
        "use_interpolation_for_uv": false,
        "use_frame_energy": true,
        "use_log_scale_pitch": false,
        "use_log_scale_energy": false,
        "use_spkid": true,
        // Meta file
        "train_file": "train.json",
        "valid_file": "test.json",
        "spk2id": "singers.json",
        "utt2spk": "utt2singer"
    },
    "model": {
        "condition_encoder": {
            "merge_mode": "add",
            // Prosody Features
            "use_f0": true,
            "use_uv": true,
            "use_energy": true,
            // Quantization (0 for not quantization)
            "input_melody_dim": 1,
            "n_bins_melody": 256,
            "output_melody_dim": 384,
            "input_loudness_dim": 1,
            "n_bins_loudness": 256,
            "output_loudness_dim": 384,
            // Semantic Features
            "use_whisper": false,
            "use_contentvec": false,
            "use_wenet": false,
            "use_mert": false,
            "whisper_dim": 1024,
            "contentvec_dim": 256,
            "mert_dim": 256,
            "wenet_dim": 512,
            "content_encoder_dim": 384,
            // Speaker Features
            "output_singer_dim": 384,
            "singer_table_size": 512,
            "use_spkid": true
        }
    },
}