Spaces:
Sleeping
Sleeping
File size: 6,803 Bytes
0883aa1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 |
{
// FIXME: THESE ARE LEGACY
"base_config": "config/base.json",
"model_type": "diffusion",
"task_type": "svc",
"use_custom_dataset": false,
"preprocess": {
// data augmentations
"use_pitch_shift": false,
"use_formant_shift": false,
"use_time_stretch": false,
"use_equalizer": false,
// 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_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",
"input_melody_dim": 1,
"use_log_f0": true,
"n_bins_melody": 256,
//# Quantization (0 for not quantization)
"output_melody_dim": 384,
"input_loudness_dim": 1,
"use_log_loudness": true,
"n_bins_loudness": 256,
"output_loudness_dim": 384,
"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,
"output_singer_dim": 384,
"singer_table_size": 512,
"output_content_dim": 384,
"use_spkid": true
},
// FIXME: FOLLOWING ARE NEW!!
"diffusion": {
"scheduler": "ddpm",
"scheduler_settings": {
"num_train_timesteps": 1000,
"beta_start": 1.0e-4,
"beta_end": 0.02,
"beta_schedule": "linear"
},
// Diffusion steps encoder
"step_encoder": {
"dim_raw_embedding": 128,
"dim_hidden_layer": 512,
"activation": "SiLU",
"num_layer": 2,
"max_period": 10000
},
// Diffusion decoder
"model_type": "bidilconv",
// bidilconv, unet2d, TODO: unet1d
"bidilconv": {
"base_channel": 384,
"n_res_block": 20,
"conv_kernel_size": 3,
"dilation_cycle_length": 4,
// specially, 1 means no dilation
"conditioner_size": 384
},
"unet2d": {
"in_channels": 1,
"out_channels": 1,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"mid_block_type": "UNetMidBlock2DCrossAttn",
"up_block_types": [
"UpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D"
],
"only_cross_attention": false
}
}
},
// FIXME: FOLLOWING ARE NEW!!
"train": {
// Basic settings
"batch_size": 64,
"gradient_accumulation_step": 1,
"max_epoch": -1,
// -1 means no limit
"save_checkpoint_stride": [
5,
20
],
// unit is epoch
"keep_last": [
3,
-1
],
// -1 means infinite, if one number will broadcast
"run_eval": [
false,
true
],
// if one number will broadcast
// Fix the random seed
"random_seed": 10086,
// Batchsampler
"sampler": {
"holistic_shuffle": true,
"drop_last": true
},
// Dataloader
"dataloader": {
"num_worker": 32,
"pin_memory": true
},
// Trackers
"tracker": [
"tensorboard"
// "wandb",
// "cometml",
// "mlflow",
],
// Optimizer
"optimizer": "AdamW",
"adamw": {
"lr": 4.0e-4
// nn model lr
},
// LR Scheduler
"scheduler": "ReduceLROnPlateau",
"reducelronplateau": {
"factor": 0.8,
"patience": 10,
// unit is epoch
"min_lr": 1.0e-4
}
},
"inference": {
"diffusion": {
"scheduler": "pndm",
"scheduler_settings": {
"num_inference_timesteps": 1000
}
}
}
} |