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notebooks/Custom_model_training.ipynb
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@ -82,7 +82,7 @@
"- `min_valid_minutes`: minimum validation in minutes. Validation is automatically selected from training set. (exclusive users).\n",
"- `matching_function`: there are two types of mapping functions.\n",
" - `one_to_one` : In this one clean file will only have one corresponding noisy file. For example Valentini datasets\n",
" - `one_to_many` : In this one clean file will only have one corresponding noisy file. For example DNS dataset.\n"
" - `one_to_many` : In this one clean file will only have one corresponding noisy file. For example MS-SNSD dataset.\n"
]
},
{

12
notebooks/Getting_started.ipynb
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@ -302,7 +302,7 @@
"source": [
"Now there are two types of `matching_function`\n",
"- `one_to_one` : In this one clean file will only have one corresponding noisy file. For example Valentini datasets\n",
"- `one_to_many` : In this one clean file will only have one corresponding noisy file. For example DNS dataset."
"- `one_to_many` : In this one clean file will only have one corresponding noisy file. For example MS-SNSD dataset."
]
},
{
@ -479,7 +479,7 @@
"metadata": {},
"source": [
"### TL;DR\n",
"Calling the following command would train mayavoz Demucs model on DNS-2020 dataset.\n",
"Calling the following command would train mayavoz Demucs model on MS-SNSD dataset.\n",
"\n",
"```bash\n",
"mayavoz-train \\\n",
@ -540,7 +540,7 @@
"mayavoz-train --cfg job \\\n",
" model=Demucs \\\n",
" Demucs.sampling_rate=16000 \\\n",
" dataset=DNS-2020\n",
" dataset=MS-SNSD\n",
"\n",
"```\n",
"\n",
@ -562,7 +562,7 @@
"```bash\n",
"mayavoz-train \\\n",
" model=Demucs model.sampling_rate=16000 \\\n",
" dataset=DNS-2020\n",
" dataset=MS-SNSD\n",
"\n",
"```"
]
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],
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