Functions — github.com/AIGC-Audio/AudioGPT

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Functions2,752 in github.com/AIGC-Audio/AudioGPT

⨍ Functions 2,752◇ Types & classes 604

Method__init__

(self, dictionary, out_dims=None)

NeuralSeq/modules/GenerSpeech/model/generspeech.py:20

Method__init__

Args: p (float): probability of using MixStyle. alpha (float): parameter of the Beta distribution. eps (float):

NeuralSeq/modules/GenerSpeech/model/mixstyle.py:11

Method__init__

(self, hidden_channels, kernel_size, dilation_rate, n_layers, gin_channels=0, p_dropout=0, sh

NeuralSeq/modules/GenerSpeech/model/wavenet.py:15

Method__init__

(self, n_embeddings, embedding_dim, commitment_cost=0.25, decay=0.999, epsilon=1e-5, print_vq

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:17

Method__init__

(self, d_model, nhead, dim_feedforward=2048, dropout=0.1)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:96

Method__init__

(self, num_layers, guided_sigma=0.3, guided_layers=None, norm=None)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:130

Method__init__

(self, hidden_size, num_vq_codes=64, padding_idx=0)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:173

Method__init__

(self, lambd)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:205

Method__init__

(self, in_channels, out_channels, kernel_size=1, stride=1, dilation=1, groups=1, bias=True, padding=0)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:216

Method__init__

(self, channels, kernel_size, dilation, n=2, norm_type='bn', dropout=0.0, c_multiple=2, ln_ep

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:234

Method__init__

(self, kernel_size, dilation, causal=False)

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:287

Method__init__

(self, channels, out_dims, dilations, kernel_size, norm_type='ln', layers_in_block=2, c_multi

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:301

Method__init__

(self, embed_tokens, channels, out_dims, dilations, kernel_size, norm_type='ln', layers_in_bl

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:339

Method__init__

(self, channels, g_channels, out_dims, dilations, kernel_size, norm_type='ln', layers_in_bloc

NeuralSeq/modules/GenerSpeech/model/prosody_util.py:361

Method__init__

(self, channels, eps=1e-4)

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:12

Method__init__

(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout)

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:33

Method__init__

(self, channels, ddi=False, **kwargs)

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:69

Method__init__

(self, channels, n_split=4, no_jacobian=False, lu=True, n_sqz=2, **kwargs)

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:115

Method__init__

(self, channels, no_jacobian=False, lu=True, **kwargs)

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:197

Method__init__

(self, in_channels, hidden_channels, kernel_size, dilation_rate, n_layers, gin_channels=0, p_

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:283

Method__init__

(self, hidden_size=128, gin_channels=256, num_layers=2, ffn_kernel_size=5, dropout=None, num_

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:339

Method__init__

(self, in_channels, hidden_channels, n_layers, gin_channels=0, p_dropout=0, sigmoid_scale=Fal

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:362

Method__init__

(self, in_channels, hidden_channels, n_layers, gin_channels=0, p_dropout=0, sigmoid_scale=Fal

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:414

Method__init__

(self, in_channels=256, hidden_channels=256, kernel_size=3,

NeuralSeq/modules/GenerSpeech/model/glow_modules.py:595

Method__init__

(self, h, channels, kernel_size=3, dilation=(1, 3))

NeuralSeq/modules/hifigan/hifigan.py:71

Method__init__

Initialize 1x1 Conv1d module.

NeuralSeq/modules/hifigan/hifigan.py:97

Method__init__

(self, h, c_out=1)

NeuralSeq/modules/hifigan/hifigan.py:105

Method__init__

(self, period, kernel_size=5, stride=3, use_spectral_norm=False, use_cond=False, c_in=1)

NeuralSeq/modules/hifigan/hifigan.py:182

Method__init__

(self, use_cond=False, c_in=1)

NeuralSeq/modules/hifigan/hifigan.py:227

Method__init__

(self, use_spectral_norm=False, use_cond=False, upsample_rates=None, c_in=1)

NeuralSeq/modules/hifigan/hifigan.py:254

Method__init__

(self, use_cond=False, c_in=1)

NeuralSeq/modules/hifigan/hifigan.py:290

Method__init__

(self, dictionary, out_dims=None)

NeuralSeq/modules/diffsinger_midi/fs2.py:47

Method__init__

(self, *args, **kwargs)

NeuralSeq/modules/diff/net.py:17

Method__init__

(self, dim)

NeuralSeq/modules/diff/net.py:33

Method__init__

(self, encoder_hidden, residual_channels, dilation)

NeuralSeq/modules/diff/net.py:59

Method__init__

(self, fn)

NeuralSeq/modules/diff/diffusion.py:45

Method__init__

(self, dim)

NeuralSeq/modules/diff/diffusion.py:54

Method__init__

(self, dim)

NeuralSeq/modules/diff/diffusion.py:74

Method__init__

(self, dim)

NeuralSeq/modules/diff/diffusion.py:83

Method__init__

(self, fn)

NeuralSeq/modules/diff/diffusion.py:92

Method__init__

(self, dim, dim_out, *, time_emb_dim, groups=8)

NeuralSeq/modules/diff/diffusion.py:117

Method__init__

(self, dim, heads=4, dim_head=32)

NeuralSeq/modules/diff/diffusion.py:136

Method__init__

(self, phone_encoder, out_dims, denoise_fn, timesteps=1000, loss_type='l1', betas=None, spec_

NeuralSeq/modules/diff/diffusion.py:182

Method__init__

(self, dim)

NeuralSeq/modules/diff/candidate_decoder.py:15

Method__init__

(self, phone_encoder, out_dims, denoise_fn, timesteps=1000, K_step=1000, loss_type=hparams.g

NeuralSeq/modules/diff/shallow_diffusion_tts.py:72

Method__init__

(self, hidden_size, dropout, kernel_size=None, num_heads=2, norm='ln')

NeuralSeq/modules/fastspeech/tts_modules.py:17

Method__init__

Initilize duration predictor module. Args: idim (int): Input dimension. n_layers (int, optional): Number of convolutio

NeuralSeq/modules/fastspeech/tts_modules.py:70

Method__init__

(self, idim, n_layers=2, n_chans=384, kernel_size=3, dropout_rate=0.1, offset=1.0)

NeuralSeq/modules/fastspeech/tts_modules.py:146

Method__init__

(self, pad_value=0.0)

NeuralSeq/modules/fastspeech/tts_modules.py:180

Method__init__

Initilize pitch predictor module. Args: idim (int): Input dimension. n_layers (int, optional): Number of convolutional

NeuralSeq/modules/fastspeech/tts_modules.py:218

Method__init__

(self, hidden_size, num_layers, ffn_kernel_size=9, dropout=None, num_heads=2, use_pos_embed=T

NeuralSeq/modules/fastspeech/tts_modules.py:277

Method__init__

(self, embed_tokens, hidden_size=None, num_layers=None, kernel_size=None, num_heads=2)

NeuralSeq/modules/fastspeech/tts_modules.py:336

Method__init__

(self, hidden_size=None, num_layers=None, kernel_size=None, num_heads=None)

NeuralSeq/modules/fastspeech/tts_modules.py:379

Method__init__

(self, dictionary, out_dims=None)

NeuralSeq/modules/fastspeech/fs2.py:23

Method__init__

(self, idim=80, n_chans=256, kernel_size=3, stride=1, norm='gn', dropout=0)

NeuralSeq/modules/fastspeech/pe.py:45

Method__init__

(self, idim=80, n_layers=5, n_chans=256, odim=32, kernel_size=5, norm='gn', dropout=0, stride

NeuralSeq/modules/fastspeech/pe.py:82

Method__init__

(self, n_mel_bins=80, conv_layers=2)

NeuralSeq/modules/fastspeech/pe.py:120

Method__init__

Initialize Multi resolution STFT loss module. Args: fft_sizes (list): List of FFT sizes. hop_sizes (list): List of ho

NeuralSeq/modules/parallel_wavegan/stft_loss.py:58

Method__init__

Initialize HDF5 scp loader. Args: feats_scp (str): Kaldi-style feats.scp file with hdf5 format. default_hdf5_path (st

NeuralSeq/modules/parallel_wavegan/utils/utils.py:131

Method__init__

Initilize PQMF module. Args: subbands (int): The number of subbands. taps (int): The number of filter taps.

NeuralSeq/modules/parallel_wavegan/layers/pqmf.py:61

Method__init__

Initialize 1x1 Conv1d module.

NeuralSeq/modules/parallel_wavegan/layers/residual_block.py:32

Method__init__

Initialize ResidualBlock module. Args: kernel_size (int): Kernel size of dilation convolution layer. residual_channel

NeuralSeq/modules/parallel_wavegan/layers/residual_block.py:42

Method__init__

Initialize ResidualStack module. Args: kernel_size (int): Kernel size of dilation convolution layer. channels (int):

NeuralSeq/modules/parallel_wavegan/layers/residual_stack.py:16

Method__init__

Initialize Stretch2d module. Args: x_scale (int): X scaling factor (Time axis in spectrogram). y_scale (int): Y scali

NeuralSeq/modules/parallel_wavegan/layers/upsample.py:19

Method__init__

Initialize upsampling network module. Args: upsample_scales (list): List of upsampling scales. nonlinear_activation (

NeuralSeq/modules/parallel_wavegan/layers/upsample.py:64

Method__init__

Initialize convolution + upsampling network module. Args: upsample_scales (list): List of upsampling scales. nonlinea

NeuralSeq/modules/parallel_wavegan/layers/upsample.py:128

Method__init__

Initialize CausalConvTranspose1d module.

NeuralSeq/modules/parallel_wavegan/layers/causal_conv.py:39

Method__init__

Initialize TFReflectionPad1d module. Args: padding_size (int): Padding size.

NeuralSeq/modules/parallel_wavegan/layers/tf_layers.py:14

Method__init__

Initialize TFConvTranspose1d( module. Args: channels (int): Number of channels. kernel_size (int): kernel size.

NeuralSeq/modules/parallel_wavegan/layers/tf_layers.py:41

Method__init__

Initilize RAdam optimizer.

NeuralSeq/modules/parallel_wavegan/optimizers/radam.py:17

Method__init__

Initialize Parallel WaveGAN Discriminator module. Args: in_channels (int): Number of input channels. out_channels

NeuralSeq/modules/parallel_wavegan/models/parallel_wavegan.py:210

Method__init__

Initialize Parallel WaveGAN Discriminator module. Args: in_channels (int): Number of input channels. out_channels

NeuralSeq/modules/parallel_wavegan/models/parallel_wavegan.py:306

Method__init__

Initilize MelGAN discriminator module. Args: in_channels (int): Number of input channels. out_channels (int): Number

NeuralSeq/modules/parallel_wavegan/models/melgan.py:197

Method__init__

Initilize MelGAN multi-scale discriminator module. Args: in_channels (int): Number of input channels. out_channels (i

NeuralSeq/modules/parallel_wavegan/models/melgan.py:306

Method__init__

(self, samp_rate, pulse_amp = 0.1, noise_std = 0.003, voiced_threshold = 0)

NeuralSeq/modules/parallel_wavegan/models/source.py:146

Method__init__

(self)

NeuralSeq/modules/parallel_wavegan/models/source.py:213

Method__init__

(self, samp_rate, noise_std=0.003, voiced_threshold=0)

NeuralSeq/modules/parallel_wavegan/models/source.py:252

Method__init__

(self, sampling_rate, noise_std=0.003, voiced_threshod=0)

NeuralSeq/modules/parallel_wavegan/models/source.py:460

Method__init__

(self, sampling_rate, harmonic_num=0, sine_amp=0.1, add_noise_std=0.003, voiced_threshod=0)

NeuralSeq/modules/parallel_wavegan/models/source.py:503

Method__init__

Initilize spectral convergence loss module.

NeuralSeq/modules/parallel_wavegan/losses/stft_loss.py:37

Method__init__

Initilize los STFT magnitude loss module.

NeuralSeq/modules/parallel_wavegan/losses/stft_loss.py:58

Method__init__

Initialize Multi resolution STFT loss module. Args: fft_sizes (list): List of FFT sizes. hop_sizes (list): List of ho

NeuralSeq/modules/parallel_wavegan/losses/stft_loss.py:112

Method__init__

(self, dim)

NeuralSeq/modules/syntaspeech/syntaspeech.py:18

Method__init__

(self, in_dim, hid_dim, out_dim, n_iterations=5, n_edge_types=6)

NeuralSeq/modules/syntaspeech/syntactic_graph_encoder.py:33

Method__init__

(self, time_length, freq_length=80, kernel=(3, 3), c_in=1, hidden_size=128)

NeuralSeq/modules/syntaspeech/multi_window_disc.py:7

Method__init__

(self, time_lengths, freq_length=80, kernel=(3, 3), c_in=1, hidden_size=128)

NeuralSeq/modules/syntaspeech/multi_window_disc.py:47

Method__init__

(self, language='zh', use_gpu=False, download=False)

NeuralSeq/modules/syntaspeech/syntactic_graph_buider.py:8

Method__init__

(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., wind

NeuralSeq/modules/commons/rel_transformer.py:30

Method__init__

(self, channels, out_channels, n_heads, window_size=None, heads_share=True, p_dropout=0., blo

NeuralSeq/modules/commons/rel_transformer.py:87

Method__init__

(self, channels, eps=1e-4)

NeuralSeq/modules/commons/rel_transformer.py:266

Method__init__

(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout)

NeuralSeq/modules/commons/rel_transformer.py:287

Method__init__

(self, n_vocab, out_channels, hidden_channels,

NeuralSeq/modules/commons/rel_transformer.py:322

Method__init__

(self, pooler_type)

NeuralSeq/modules/commons/rel_transformer.py:392

Method__init__

(self, temp)

NeuralSeq/modules/commons/rel_transformer.py:425

Method__init__

(self, hidden_size)

NeuralSeq/modules/commons/rel_transformer.py:452

Method__init__

(self, hid_dim, out_dim)

NeuralSeq/modules/commons/rel_transformer.py:466

Method__init__

(self, n_vocab, out_channels, hidden_channels,

NeuralSeq/modules/commons/rel_transformer.py:484

Method__init__

Initialize class.

NeuralSeq/modules/commons/espnet_positional_embedding.py:68

Method__init__

Initialize class.

NeuralSeq/modules/commons/espnet_positional_embedding.py:98

Method__init__

(self, window_size=11, size_average=True)

NeuralSeq/modules/commons/ssim.py:355

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