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Functions148 in github.com/dipjyoti92/SC-WaveRNN

⨍ Functions 148◇ Types & classes 22
↓ 13 callersMethodlog
(self, path, msg)
models/tacotron.py:445
↓ 10 callersMethodget_step
(self)
models/tacotron.py:435
↓ 10 callersMethodload
(self, path)
models/tacotron.py:458
↓ 8 callersMethod__init__
(self, attn_dim, kernel_size=31, filters=32)
models/tacotron.py:166
↓ 7 callersMethodsave
(self, path)
models/tacotron.py:461
↓ 6 callersFunctionstream
(message)
utils/display.py:20
↓ 5 callersMethodrestore
(self, path)
models/tacotron.py:449
↓ 5 callersFunctionsimple_table
(item_tuples)
utils/display.py:24
↓ 4 callersMethod__init__
(self, rnn_dims, fc_dims, bits, pad, upsample_factors, feat_dims, compute_dims, res_out_dims,
models/fatchord_version.py:100
↓ 4 callersMethodgenerate
(self, x, steps=2000)
models/tacotron.py:365
↓ 4 callersFunctionlabel_2_float
(x, bits)
utils/dsp.py:8
↓ 3 callersFunction_symbols_to_sequence
(symbols)
utils/text/__init__.py:65
↓ 3 callersFunctioncollapse_whitespace
(text)
utils/text/cleaners.py:60
↓ 3 callersMethodfold_with_overlap
Fold the tensor with overlap for quick batched inference. Overlap will be used for crossfading in xfade_and_unfold() Args:
models/fatchord_version.py:289
↓ 3 callersFunctionget_files
(path, extension='.wav')
utils/files.py:3
↓ 3 callersFunctionload_wav
(path)
utils/dsp.py:17
↓ 3 callersFunctionlowercase
(text)
utils/text/cleaners.py:56
↓ 3 callersFunctionprogbar
(i, n, size=16)
utils/display.py:12
↓ 3 callersFunctiontext_to_sequence
Converts a string of text to a sequence of IDs corresponding to the symbols in the text. The text can optionally have ARPAbet sequences enclosed
utils/text/__init__.py:15
↓ 2 callersFunction_clean_text
(text, cleaner_names)
utils/text/__init__.py:56
↓ 2 callersFunction_parse_cmudict
(file)
utils/text/cmudict.py:45
↓ 2 callersFunctionamp_to_db
(x)
utils/dsp.py:62
↓ 2 callersMethodcheckpoint
(self, path)
models/tacotron.py:441
↓ 2 callersFunctionconvert_to_ascii
(text)
utils/text/cleaners.py:64
↓ 2 callersFunctiondecode_mu_law
(y, mu, from_labels=True)
utils/dsp.py:100
↓ 2 callersFunctionfloat_2_label
(x, bits)
utils/dsp.py:12
↓ 2 callersFunctiongen_testset
(model, test_set, samples, batched, target, overlap, save_path)
gen_wavernn.py:12
↓ 2 callersMethodget_gru_cell
(self, gru)
models/fatchord_version.py:269
↓ 2 callersMethodget_r
(self)
models/tacotron.py:299
↓ 2 callersFunctionget_tts_dataset
(path, batch_size, r)
utils/dataset.py:105
↓ 2 callersFunctionget_vocoder_datasets
(path, batch_size, train_gta)
utils/dataset.py:35
↓ 2 callersFunctionlog_sum_exp
numerically stable log_sum_exp implementation that prevents overflow
utils/distribution.py:6
↓ 2 callersFunctionmelspectrogram
(y)
utils/dsp.py:76
↓ 2 callersFunctionnormalize
(S)
utils/dsp.py:54
↓ 2 callersMethodpad_tensor
(self, x, pad, side='both')
models/fatchord_version.py:277
↓ 2 callersMethodsave
(self, path)
models/fatchord_version.py:424
↓ 2 callersFunctionsave_attention
(attn, path)
utils/display.py:87
↓ 2 callersFunctionsave_wav
(x, path)
utils/dsp.py:21
↓ 2 callersFunctionstft
(y)
utils/dsp.py:82
↓ 2 callersMethodzoneout
(self, prev, current, p=0.1)
models/tacotron.py:216
↓ 1 callersFunction_arpabet_to_sequence
(text)
utils/text/__init__.py:69
↓ 1 callersFunction_get_pronunciation
(s)
utils/text/cmudict.py:60
↓ 1 callersFunction_should_keep_symbol
(s)
utils/text/__init__.py:73
↓ 1 callersFunctionbuild_mel_basis
()
utils/dsp.py:50
↓ 1 callersFunctioncollate_tts
(batch, r)
utils/dataset.py:169
↓ 1 callersFunctioncombine_signal
(coarse, fine)
utils/dsp.py:32
↓ 1 callersFunctionconvert_file
(path)
preprocess.py:22
↓ 1 callersFunctioncreate_gta_features
(model, train_set, save_path)
train_tacotron.py:73
↓ 1 callersMethodcreate_paths
(self)
utils/paths.py:27
↓ 1 callersFunctionencode_mu_law
(x, mu)
utils/dsp.py:94
↓ 1 callersFunctionexpand_abbreviations
(text)
utils/text/cleaners.py:46
↓ 1 callersFunctionexpand_numbers
(text)
utils/text/cleaners.py:52
↓ 1 callersMethodgen_display
(self, i, seq_len, b_size, start)
models/fatchord_version.py:263
↓ 1 callersFunctiongen_from_file
(model, load_path, enc_model_fpath, save_path, batched, target, overlap)
gen_wavernn.py:39
↓ 1 callersFunctionget_spk_embed
(load_path, enc_model_fpath)
gen_tacotron.py:15
↓ 1 callersMethodget_step
(self)
models/fatchord_version.py:402
↓ 1 callersMethodinit_attention
(self, encoder_seq_proj)
models/tacotron.py:175
↓ 1 callersMethodinit_hidden
(self, batch_size=1)
models/deepmind_version.py:165
↓ 1 callersMethodinit_model
(self)
models/tacotron.py:431
↓ 1 callersFunctionlinear_to_mel
(spectrogram)
utils/dsp.py:43
↓ 1 callersMethodload
(self, path)
models/fatchord_version.py:421
↓ 1 callersFunctionnick
(path)
utils/text/recipes.py:19
↓ 1 callersFunctionnormalize_numbers
(text)
utils/text/numbers.py:64
↓ 1 callersFunctionnp_now
(x)
train_tacotron.py:13
↓ 1 callersMethodnum_params
(self, print_out=True)
models/fatchord_version.py:427
↓ 1 callersMethodnum_params
(self)
models/deepmind_version.py:168
↓ 1 callersMethodnum_params
(self, print_out=True)
models/tacotron.py:464
↓ 1 callersFunctionpad1d
(x, max_len)
utils/dataset.py:161
↓ 1 callersFunctionpad2d
(x, max_len)
utils/dataset.py:165
↓ 1 callersFunctionsample_from_discretized_mix_logistic
Sample from discretized mixture of logistic distributions Args: y (Tensor): B x C x T log_scale_min (float): Log scale minimu
utils/distribution.py:87
↓ 1 callersFunctionsave_spectrogram
(M, path, length=None)
utils/display.py:94
↓ 1 callersMethodset_r
(self, r)
models/tacotron.py:295
↓ 1 callersFunctionto_one_hot
(tensor, n, fill_with=1.)
utils/distribution.py:126
↓ 1 callersFunctiontts_train_loop
(model, optimizer, train_set, lr, train_steps, attn_example)
train_tacotron.py:16
↓ 1 callersFunctionvoc_train_loop
(model, loss_func, optimiser, train_set, test_set, lr, total_steps)
train_wavernn.py:15
↓ 1 callersMethodxfade_and_unfold
Applies a crossfade and unfolds into a 1d array. Args: y (ndarry) : Batched sequences of audio samples
models/fatchord_version.py:338
Method__getitem__
(self, index)
utils/dataset.py:24
Method__getitem__
(self, index)
utils/dataset.py:149
Method__init__
(self, ids, path, train_gta=False)
utils/dataset.py:17
Method__init__
(self, path, dataset_ids, text_dict)
utils/dataset.py:144
Method__init__
(self, lengths, batch_size, bin_size)
utils/dataset.py:199
Method__init__
(self, data_path, voc_id, tts_id)
utils/paths.py:5
Method__init__
(self, file_or_path, keep_ambiguous=True)
utils/text/cmudict.py:21
Method__init__
(self, dims)
models/fatchord_version.py:12
Method__init__
(self, res_blocks, in_dims, compute_dims, res_out_dims, pad)
models/fatchord_version.py:30
Method__init__
(self, x_scale, y_scale)
models/fatchord_version.py:50
Method__init__
(self, feat_dims, upsample_scales, compute_dims, res_blocks, res_out_dims, pad)
models/fatchord_version.py:63
Method__init__
(self, hidden_size=896, quantisation=256)
models/deepmind_version.py:8
Method__init__
(self, size)
models/tacotron.py:10
Method__init__
(self, embed_dims, num_chars, cbhg_channels, K, num_highways, dropout)
models/tacotron.py:31
Method__init__
(self, in_channels, out_channels, kernel, relu=True)
models/tacotron.py:52
Method__init__
(self, K, in_channels, channels, proj_channels, num_highways)
models/tacotron.py:65
Method__init__
(self, in_dims, fc1_dims=256, fc2_dims=128, dropout=0.5)
models/tacotron.py:130
Method__init__
(self, attn_dims)
models/tacotron.py:147
Method__init__
(self, n_mels, decoder_dims, lstm_dims)
models/tacotron.py:202
Method__init__
(self, embed_dims, num_chars, encoder_dims, decoder_dims, n_mels, fft_bins, postnet_dims, enc
models/tacotron.py:274
Method__iter__
(self)
utils/dataset.py:205
Method__len__
(self)
utils/dataset.py:31
Method__len__
(self)
utils/dataset.py:157
Method__len__
(self)
utils/dataset.py:226
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