{
    "model_type": "autoencoder",
    "sample_size": 12000,
    "sample_rate": 24000,
    "audio_channels": 1,
    "model": {
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                "channels": 128,
                "c_mults": [1, 2, 4, 8],
                "strides": [2, 4, 6, 10],
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                "use_snake": true
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                "c_mults": [1, 2, 4, 8],
                "strides": [2, 4, 6, 10],
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                "use_snake": true,
                "final_tanh": false
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        },
        "bottleneck": {
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        },
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        "downsampling_ratio": 480,
        "io_channels": 1
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    "training": {
        "learning_rate": 1.5e-4,
        "warmup_steps": 0,
        "use_ema": false,
        "optimizer_configs": {
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                    "config": {
                        "betas": [0.8, 0.99],
                        "lr": 1.5e-4,
                        "weight_decay": 1e-3
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                },
                "scheduler": {
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                    "config": {
                        "inv_gamma": 200000,
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                        "warmup": 0.999
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                }
            },
            "discriminator": {
                "optimizer": {
                    "type": "AdamW",
                    "config": {
                        "betas": [0.8, 0.99],
                        "lr": 3e-4,
                        "weight_decay": 1e-3
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                },
                "scheduler": {
                    "type": "InverseLR",
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                }
            }
        },
        "loss_configs": {
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                "type": "encodec",
                "config": {
                    "filters": 64,
                    "n_ffts": [1920, 960, 480, 240, 120],
                    "hop_lengths": [480, 240, 120, 60, 30],
                    "win_lengths": [1920, 960, 480, 240, 120]
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                "weights": {
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                    "feature_matching": 5.0
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            "spectral": {
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                "config": {
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                    "hop_sizes": [480, 240, 120, 60, 30, 15],
                    "win_lengths": [1920, 960, 480, 240, 120, 60],
                    "perceptual_weighting": true
                },
                "weights": {
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            },
            "time": {
                "type": "l1",
                "weights": {
                    "l1": 0.0
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            },
            "bottleneck": {
                "type": "kl",
                "weights": {
                    "kl": 1e-4
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            }
        },
        "demo": {
            "demo_every": 2000
        }
    }
}