A pytorch package for Spectrogram Inversion
Project description
Spectrogram Inversion
Some useful spectrogram inversion tools written in PyTorch.
Methods
Griffin & Lim
Griffin, Daniel, and Jae Lim. "Signal estimation from modified short-time Fourier transform." IEEE Transactions on Acoustics, Speech, and Signal Processing 32, no. 2 (1984): 236-243.
RTISI-LA
Zhu, Xinglei, Gerald T. Beauregard, and Lonce Wyse. "Real-time iterative spectrum inversion with look-ahead." In 2006 IEEE International Conference on Multimedia and Expo, pp. 229-232. IEEE, 2006.
L-BFGS
Decorsière, Rémi, Peter L. Søndergaard, Ewen N. MacDonald, and Torsten Dau. "Inversion of auditory spectrograms, traditional spectrograms, and other envelope representations." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 1 (2014): 46-56.
TODO
- Speed comparison on GPU.
- Documentation.
- Examples.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file torch_specinv-0.1.tar.gz.
File metadata
- Download URL: torch_specinv-0.1.tar.gz
- Upload date:
- Size: 6.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 12e3e863664ef870d2378b5cd5c4c4bf91eb1802b52b0f22de40cdc0973b3594 |
|
| MD5 | bce12bda00ee61257b1130834aa71c17 |
|
| BLAKE2b-256 | d1e27a71a638358bedd7ed14882007e29ce87d5aa40884719f844e1172b28d85 |
File details
Details for the file torch_specinv-0.1-py3-none-any.whl.
File metadata
- Download URL: torch_specinv-0.1-py3-none-any.whl
- Upload date:
- Size: 7.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3ca6010293a8fd2eaaa9c0c5a5d05c50c703de3259403576c558c84de509d38 |
|
| MD5 | 43edd71c0514467620c7a1b6a60cfce6 |
|
| BLAKE2b-256 | 36f6a7c8ebca30e8b5d3249fd82a1f0f7c8574fe5c1974a7a7f611847ea2d8f1 |
