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{
"cells": [
{
"cell_type": "markdown",
"id": "3de63898",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/teticio/audio-diffusion/blob/master/notebooks/test_mel.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "81fbd495",
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" # are we running on Google Colab?\n",
" import google.colab\n",
" !git clone -q https://github.com/teticio/audio-diffusion.git\n",
" %cd audio-diffusion\n",
" %pip install -q -r requirements.txt\n",
"except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "218fcdf1",
"metadata": {},
"outputs": [],
"source": [
"from datasets import load_dataset\n",
"from IPython.display import Audio\n",
"from diffusers import Mel"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5e4f8ee5",
"metadata": {},
"outputs": [],
"source": [
"# These are the default parameters. If you change any of them, you may have to adjust the others.\n",
"mel = Mel(x_res=256,\n",
" y_res=256,\n",
" hop_length=512,\n",
" sample_rate=22050,\n",
" n_fft=2048,\n",
" n_iter=32)"
]
},
{
"cell_type": "markdown",
"id": "b2178c3f",
"metadata": {},
"source": [
"### Transform slice of audio to mel spectrogram"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f32bb35e",
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" # are we running on Google Colab?\n",
" from google.colab import files\n",
" audio_file = list(files.upload().keys())[0]\n",
"except:\n",
" audio_file = \"/home/teticio/Music/Music/A Tribe Called Quest/The Anthology/08 Can I Kick It_.mp3\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61dbcd2e",
"metadata": {},
"outputs": [],
"source": [
"mel.load_audio(audio_file)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ccadcc0f",
"metadata": {},
"outputs": [],
"source": [
"image = mel.audio_slice_to_image(15)\n",
"image"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8cec79c6",
"metadata": {},
"outputs": [],
"source": [
"image.width, image.height"
]
},
{
"cell_type": "markdown",
"id": "fe112fef",
"metadata": {},
"source": [
"### Transform mel spectrogram back to audio"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0b268a54",
"metadata": {},
"outputs": [],
"source": [
"audio = mel.image_to_audio(image)\n",
"Audio(data=audio, rate=mel.get_sample_rate())"
]
},
{
"cell_type": "markdown",
"id": "0f1f2006",
"metadata": {},
"source": [
"### Select a random image from the training set"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1f29f025",
"metadata": {},
"outputs": [],
"source": [
"ds = load_dataset('teticio/audio-diffusion-256')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e002482d",
"metadata": {},
"outputs": [],
"source": [
"image = ds['train'].shuffle().select(range(1))['image'][0]\n",
"image"
]
},
{
"cell_type": "markdown",
"id": "6a801fc5",
"metadata": {},
"source": [
"### Convert to audio"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a2421827",
"metadata": {},
"outputs": [],
"source": [
"audio = mel.image_to_audio(image)\n",
"Audio(data=audio, rate=mel.get_sample_rate())"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2281fb55",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "huggingface",
"language": "python",
"name": "huggingface"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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