singing_voice_conversion / config /autoencoderkl.json
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add backend inference and inferface output
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{
"base_config": "config/base.json",
"model_type": "AutoencoderKL",
"task_type": "tta",
"dataset": [
"AudioCaps"
],
"preprocess": {
// feature used for model training
"use_spkid": false,
"use_uv": false,
"use_frame_pitch": false,
"use_phone_pitch": false,
"use_frame_energy": false,
"use_phone_energy": false,
"use_mel": false,
"use_audio": false,
"use_label": false,
"use_one_hot": false
},
// model
"model": {
"autoencoderkl": {
"ch": 128,
"ch_mult": [
1,
1,
2,
2,
4
],
"num_res_blocks": 2,
"in_channels": 1,
"z_channels": 4,
"out_ch": 1,
"double_z": true
},
"loss": {
"kl_weight": 1e-8,
"disc_weight": 0.5,
"disc_factor": 1.0,
"logvar_init": 0.0,
"min_adapt_d_weight": 0.0,
"max_adapt_d_weight": 10.0,
"disc_start": 50001,
"disc_in_channels": 1,
"disc_num_layers": 3,
"use_actnorm": false
}
},
// train
"train": {
"lronPlateau": {
"factor": 0.9,
"patience": 100,
"min_lr": 4.0e-5,
"verbose": true
},
"adam": {
"lr": 4.0e-4,
"betas": [
0.9,
0.999
],
"weight_decay": 1.0e-2,
"eps": 1.0e-8
}
}
}