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Fix issues

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babysor00 2023-02-04 17:00:49 +08:00
parent 9d67b757f0
commit beec0b93ed
2 changed files with 42 additions and 12 deletions
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16
utils/audio_utils.py
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@ -68,20 +68,12 @@ def mel_spectrogram(
if torch.max(y) > 1.: if torch.max(y) > 1.:
print('max value is ', torch.max(y)) print('max value is ', torch.max(y))
# global mel_basis, hann_window
# if fmax not in mel_basis:
# mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
# mel_basis[str(fmax)+'_'+str(y.device)] = torch.from_numpy(mel).float().to(y.device)
# hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)
global mel_basis, hann_window global mel_basis, hann_window
dtype_device = str(y.dtype) + '_' + str(y.device) if fmax not in mel_basis:
fmax_dtype_device = str(fmax) + '_' + dtype_device
wnsize_dtype_device = str(win_size) + '_' + dtype_device
if fmax_dtype_device not in mel_basis:
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=y.dtype, device=y.device) mel_basis[str(fmax)+'_'+str(y.device)] = torch.from_numpy(mel).float().to(y.device)
if wnsize_dtype_device not in hann_window: hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)
hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device)
y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect') y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')
y = y.squeeze(1) y = y.squeeze(1)

38
vits.ipynb vendored
View File

@ -377,6 +377,44 @@
" metadata_file.write(new_info)\n", " metadata_file.write(new_info)\n",
"metadata_file.close()" "metadata_file.close()"
] ]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"import os\n",
"import shutil\n",
"emo_root = Path('../audiodata/SV2TTS/synthesizer').joinpath('emo')\n",
"# raw_root = Path('../audiodata/aidatatang_200zh/corpus/train')\n",
"# emo_file_list = emo_root.glob(\"**/*.npy\")\n",
"# for emo_file in emo_file_list:\n",
"# if emo_file.name.endswith('wav__00.npy'):\n",
"# folder = emo_file.parent\n",
"# os.rename(emo_file, folder.joinpath(emo_file.name.replace(\"__00\", \"_00\")))\n",
" # shutil.move(emo_file, emo_root.joinpath(emo_file.name))\n",
"\n",
"root = Path('../audiodata/SV2TTS/synthesizer')\n",
"dict_info = []\n",
"with open(root.joinpath(\"train.txt\"), \"r\", encoding=\"utf-8\") as dict_meta:\n",
" for raw in dict_meta:\n",
" if not raw:\n",
" continue\n",
" v = raw.split(\"|\")[0].replace(\"audio\",\"emo\")\n",
" emo_fpath = root.joinpath(\"emo\").joinpath(v)\n",
" if emo_fpath.exists():\n",
" dict_info.append(raw)\n",
" # else:\n",
" # print(emo_fpath)\n",
"# Iterate over each wav\n",
"meta2 = Path('../audiodata/SV2TTS/synthesizer/train2.txt')\n",
"metadata_file = meta2.open(\"w\", encoding=\"utf-8\")\n",
"for new_info in dict_info:\n",
" metadata_file.write(new_info)\n",
"metadata_file.close()"
]
} }
], ],
"metadata": { "metadata": {