imagenet-voice 0.51.1

A collection of synthetic audio files containing spoken labels from ImageNet

ImageNet Voice

This dataset is derived from ImageNet, and contains synthetic recordings of TTS voices saying each ImageNet label 200 times. This is more or less a toy dataset, but can be very useful for projects with little-to-no data.

Usage

After installing with python3 -m pip install imagenet-voice, ImageNet-Voice can be imported and used like most other datasets:

import imagenet_voice

X, y = imagenet_voice.load(progress=True, download_data=True)

The Python package includes 3 loading functions:

• load(progress, download_data) - Load the entire dataset. If progress, display a progressbar. If download_data, git clone the dataset.
• load_classes(classes, progress, download_data) - Loads only the classes in the provided classes list.
• load_n(n, random, progress, download_data) - Loads n classes, alphebtically unless random=True.

Content

This dataset is currently at 28% capacity, and more will be uploaded soon. Each folder, representing a category in ImageNet, contains 200 unique TTS files generated using ttsddg using the 7 pre-installed voices in OSX.

Acknowledgements

pyttsx3 was integral to creating ttsdg. As much trouble as I had with ffmpeg and other audio libraries, pyttsx3 made it much easier than any other option I could've taken to generate this dataset.

I appreciate any help that anyone would be willing to offer to get this dataset at 100% capacity any sooner. Please contact me!

Inspiration

I created this dataset to provide training data for a GAN that would take in an audio file of a spoken word and would generate an image of whatever was spoken. I still plan to work on that project, but I'd like to see other people perform similar tasks.