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---
license: mit
pipeline_tag: audio-to-audio
library_name: sq_codec
---
# SQCodec
This repository contains the implementation of SQCodec, a lightweight audio codec based on a single quantizer, introduced in the paper titled "One Quantizer is Enough: Toward a Lightweight Audio Codec".
[Paper](https://arxiv.org/abs/2504.04949)
[Code](https://github.com/zhai-lw/SQCodec)
## install
```
pip install sq_codec
```
### demo
Firstly, make sure you have installed the librosa package to load the example audio file. You can install it using pip:
```
pip install librosa
```
Then, you can use the following code to load a sample audio file, encode it using the SQCodec model, and decode it back
to audio. The code also calculates the mean squared error (MSE) between the original and generated audio.
```python
import librosa
import torch
import sq_codec
all_models = sq_codec.list_models()
print(f"Available models: {all_models}")
MODEL_USED = '6kbps'
codec = sq_codec.get_model(MODEL_USED)
print(f"loaded codec({MODEL_USED}) and codec sample rate: {codec.config.sample_rate}")
sample_audio, sample_rate = librosa.load(librosa.example("libri1"))
sample_audio = sample_audio[None, :]
print(f"loaded sample audio and audio sample_rate :{sample_rate}")
sample_audio = librosa.resample(sample_audio, orig_sr=sample_rate, target_sr=codec.config.sample_rate)
codec.network.cuda()
codec.network.eval()
with torch.inference_mode():
audio_in = torch.tensor(sample_audio, dtype=torch.float32, device='cuda')
_, audio_length = audio_in.shape
print(f"{audio_in.shape=}")
q_feature, indices = codec.encode_audio(audio_in)
audio_out = codec.decode_audio(q_feature) # or
# audio_out = codec.decode_audio(indices=indices)
generated_audio = audio_out[:, :audio_length].detach().cpu().numpy()
mse = ((sample_audio - generated_audio) ** 2).mean().item()
print(f"codec({MODEL_USED}) mse: {mse}")
```
### available models
| config_name | Sample rate(Hz) | tokens/s | Codebook size | Bitrate(bps) |
|--------------|-----------------|----------|---------------|--------------|
| 0k75bps | 16,000 | 44.44 | 117,649 | 748.6 |
| 1k5bps | 16,000 | 88.89 | 117,649 | 1497.3 |
| 3kbps | 16,000 | 177.78 | 117,649 | 2994.5 |
| 6kbps | 16,000 | 355.56 | 117,649 | 5989.0 |
| 12kbps | 16,000 | 666.67 | 250,047 | 11954.6 |
| 12kbps_24khz | 24,000 | 666.67 | 250,047 | 11954.6 |
| 24kbps_24khz | 24,000 | 1333.33 | 250,047 | 23909.1 | |