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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "qjubHCEzYtG8"
},
"source": [
"### Step 1. Download InfoRE dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "zCBJzJi6BE_o"
},
"outputs": [],
"source": [
"%%capture\n",
"%%bash\n",
"mkdir -p /content/data\n",
"cd /content/data\n",
"wget https://huggingface.co/datasets/ntt123/infore/resolve/main/infore_16k.zip\n",
"# unzip -P BroughtToYouByInfoRe 25hours.zip\n",
"unzip infore_16k.zip"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6C47hb9nYzmB"
},
"source": [
"### Step 2. Normalize audio clip"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Hp9TK8PbBcQM"
},
"outputs": [],
"source": [
"%%capture\n",
"!sudo apt install -y sox\n",
"!pip install soundfile librosa\n",
"!pip install onnxruntime==1.11.1"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FW45D8xM9Mcc",
"outputId": "8d7ea7a9-ea5a-48ca-88fe-37dd4ed55d9b"
},
"outputs": [],
"source": [
"!mkdir -p /content/infore_16k\n",
"from pathlib import Path\n",
"import os\n",
"from tqdm.cli import tqdm\n",
"\n",
"wavs = sorted(Path(\"/content/data/InfoRe\").glob(\"*.wav\"))\n",
"for path in tqdm(wavs):\n",
" out = Path(\"/content/infore_16k\") / path.name\n",
" cmd = f\"sox {path} -c 1 -e signed-integer -b 16 -r 16k --norm=-3 {out}\"\n",
" os.system(cmd)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kooiBrsQY5sQ"
},
"source": [
"### Step 3. Denoise using DNS-Challenge's baseline"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "hsXeNkZ3Xacj"
},
"outputs": [],
"source": [
"!git clone https://github.com/microsoft/DNS-Challenge\n",
"%cd DNS-Challenge/NSNet2-baseline/\n",
"!git checkout -f 8b87a33b2892f147b5c7ad39ea978453730db269\n",
"!python run_nsnet2.py -i /content/infore_16k/ -o /content/infore_16k_denoised -m ./nsnet2-20ms-baseline.onnx"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "T5JtZwKgZI4r"
},
"source": [
"### Step 4. Zip the denoised dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "eeFggV0uYop_"
},
"outputs": [],
"source": [
"%cd /content\n",
"!cp /content/data/InfoRe/*.txt ./infore_16k_denoised\n",
"!cd ./infore_16k_denoised; zip -r ../infore_16k_denoised.zip ."
]
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "prepare_infore_dataset.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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