torch-mdct

Name	torch-mdct JSON
Version	0.1.0 JSON
	download
home_page	None
Summary	A PyTorch implementation of the Modified Discrete Cosine Transform (MDCT) and its inverse for audio processing.
upload_time	2024-11-07 13:27:02
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	None
keywords	audio imdct mdct pytorch signal processing
VCS
bugtrack_url
requirements	No requirements were recorded.
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            # torch_mdct

PyTorch implementation of Modified Discrete Cosine Transform and Inverse Modified Discrete Cosine Transform.

## Installation 

```bash
pip install torch_mdct
```

## Usage

```python
import torchaudio
from torch_mdct import MDCT, IMDCT

# Load a sample waveform 
waveform, sample_rate = torchaudio.load("/path/to/audio.file")

# Initialize the mdct and imdct transforms
mdct = MDCT(win_length=2048)
imdct = IMDCT(win_length=2048)

# Transform waveform into mdct spectrogram
spectrogram = mdct(waveform)

# Transform spectrogram back to audio 
reconst_waveform = imdct(spectrogram)

# Compute the differences
print(f"L1: {(waveform - reconst_waveform).abs().mean()}")
```

## References 
[[1]](https://github.com/zafarrafii/Zaf-Python) Zaf-Python: Zafar's Audio Functions in **Python** for audio signal analysis.

[[2]](https://github.com/nils-werner/mdct) MDCT: A fast MDCT implementation using SciPy and FFTs.
            

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