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"# Audio compression with EnCodec and OpenVINO\n",
"\n",
"Compression is an important part of the Internet today because it enables people to easily share high-quality photos, listen to audio messages, stream their favorite shows, and so much more. Even when using today’s state-of-the-art techniques, enjoying these rich multimedia experiences requires a high speed Internet connection and plenty of storage space. AI helps to overcome these limitations: \"Imagine listening to a friend’s audio message in an area with low connectivity and not having it stall or glitch.\"\n",
"\n",
"This tutorial considers ways to use OpenVINO and EnCodec algorithm for hyper compression of audio.\n",
"EnCodec is a real-time, high-fidelity audio codec that uses AI to compress audio files without losing quality. It was introduced in [High Fidelity Neural Audio Compression](https://arxiv.org/pdf/2210.13438.pdf) paper by Meta AI. The researchers claimed they achieved an approximate 10x compression rate without loss of quality and made it work for CD-quality audio. More details about this approach can be found in [Meta AI blog](https://ai.facebook.com/blog/ai-powered-audio-compression-technique/) and original [repo](https://github.com/facebookresearch/encodec).\n",
"\n",
"![image.png](https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/17546d66-12b9-4841-9293-cc878258a186)\n",
"\n",
"\n",
"#### Table of contents:\n",
"\n",
"- [Prerequisites](#Prerequisites)\n",
"- [Instantiate audio compression pipeline](#Instantiate-audio-compression-pipeline)\n",
"- [Explore EnCodec pipeline](#Explore-EnCodec-pipeline)\n",
" - [Preprocessing](#Preprocessing)\n",
" - [Encoding](#Encoding)\n",
" - [Decompression](#Decompression)\n",
"- [Convert model to OpenVINO Intermediate Representation format](#Convert-model-to-OpenVINO-Intermediate-Representation-format)\n",
"- [Integrate OpenVINO to EnCodec pipeline](#Integrate-OpenVINO-to-EnCodec-pipeline)\n",
" - [Select inference device](#Select-inference-device)\n",
"- [Run EnCodec with OpenVINO](#Run-EnCodec-with-OpenVINO)\n",
"\n"
]
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"source": [
"## Prerequisites\n",
"[back to top ⬆️](#Table-of-contents:)\n",
"\n",
"Install required dependencies:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "c2ec9aa3-00c2-4d49-954c-c1af2fe43f2a",
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"%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu \"openvino>=2023.3.0\" \"torch>=2.1\" \"torchaudio>=2.1\" \"encodec>=0.1.1\" \"gradio>=4.19\" \"librosa>=0.8.1\" \"matplotlib<=3.7\" tqdm"
]
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"source": [
"## Instantiate audio compression pipeline\n",
"[back to top ⬆️](#Table-of-contents:)\n",
"\n",
"[Codecs](https://en.wikipedia.org/wiki/Codec), which act as encoders and decoders for streams of data, help empower most of the audio compression people currently use online. Some examples of commonly used codecs include MP3, Opus, and EVS. Classic codecs like these decompose the signal between different frequencies and encode as efficiently as possible. Most classic codecs leverage human hearing knowledge (psychoacoustics) but have a finite or given set of handcrafted ways to efficiently encode and decode the file. EnCodec, a neural network that is trained from end to end to reconstruct the input signal, was introduced as an attempt to overcome this limitation. It consists of three parts:\n",
"\n",
"* The **encoder**, which takes the uncompressed data in and transforms it into a higher dimensional and lower frame rate representation.\n",
"\n",
"* The **quantizer**, which compresses this representation to the target size. This compressed representation is what is stored on disk or will be sent through the network.\n",
"\n",
"* The **decoder** is the final step. It turns the compressed signal back into a waveform that is as similar as possible to the original. The key to lossless compression is to identify changes that will not be perceivable by humans, as perfect reconstruction is impossible at low bit rates.\n",
"\n",
"![encodec_compression](https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/5cd9a482-b42b-4dea-85a5-6d66b20ce13d))\n",
"\n",
"\n",
"The authors provide two multi-bandwidth models:\n",
"* `encodec_model_24khz` - a causal model operating at 24 kHz on monophonic audio trained on a variety of audio data.\n",
"* `encodec_model_48khz` - a non-causal model operating at 48 kHz on stereophonic audio trained on music-only data.\n",
"\n",
"In this tutorial, we will use `encodec_model_24khz` as an example, but the same actions are also applicable to `encodec_model_48khz` model as well.\n",
"To start working with this model, we need to instantiate model class using `EncodecModel.encodec_model_24khz()` and select required compression bandwidth among available: 1.5, 3, 6, 12 or 24 kbps for 24 kHz model and 3, 6, 12 and 24 kbps for 48 kHz model. We will use 6 kbps bandwidth."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d9855472-5c0d-4853-b284-ed659885c76e",
"metadata": {},
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/ea/work/genai_env/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\n",
" warnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n"
]
}
],
"source": [
"from encodec import compress, decompress\n",
"from encodec.utils import convert_audio, save_audio\n",
"from encodec.compress import MODELS\n",
"import torchaudio\n",
"import torch\n",
"import typing as tp\n",
"\n",
"model_id = \"encodec_24khz\"\n",
"# Instantiate a pretrained EnCodec model\n",
"model = MODELS[model_id]()\n",
"model.set_target_bandwidth(6.0)"
]
},
{
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"id": "2146fbd2-6f15-4e31-b9f6-7c8e69daabd0",
"metadata": {},
"source": [
"## Explore EnCodec pipeline\n",
"[back to top ⬆️](#Table-of-contents:)\n",
"\n",
"Let us explore model capabilities on example audio:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "84f727cf-9414-480a-b824-cae3bb97371e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"'test_24k.wav' already exists.\n"
]
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",
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