Datasets:
File size: 1,639 Bytes
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## wav2png
Run this script to convert wav files to spectrograms, which are saved as png files.
Is able to run on a folder structure with class labels:
root/dog/0001.wav
root/dog/0002.wav
root/cat/0001.wav
root/cat/0002.wav etc.
Or otherwise on single files.
Example use:
**For class folder structure**
```bash
python ./wav2png.py folder --rootdir [rootdir]
```
**For single files**
```bash
python ./wav2png.py single --filename [filename.wav]
```
Scaling is done on the STFT output to be compatible with 8-bit png format. The script searches the dataset for the maximum and minimum values, rounds up and down to the nearest integer respectively then scales to [0,255].
## png2wav
Run to convert individual png spectrograms back to wav. Script assumes (and inverts) similar scaling as in wav2png. Griffin-Lim algortihm is initialized with [SPSI](http://ieeexplore.ieee.org/abstract/document/7251907/). SPSI code originally from [here](https://github.com/lonce/SPSI_Python).
Example use:
**For single png spectrogram**
```bash
python ./png2wav.py [filename.png]
```
## cqtconv
This script is to transform a linear frequency scaled spectrogram image (like the ones generated by wav2png) to a pseudo constant-Q (CQT) scaled spectrogram. Algorithm is adapted from [Matlab code written by Dan Ellis](http://www.ee.columbia.edu/ln/rosa/matlab/sgram/).
Example use:
**For linear to cqt**
```bash
python ./cqtconv.py --rootdir [rootdir] --outdir [outdir] --conversion spec2cqt
```
**For cqt to linear**
```bash
python ./cqtconv.py --rootdir [rootdir] --outdir [outdir] --conversion cqt2spec
```
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