Word2Wave is a framework that enables the generation of short audio samples from text prompts by leveraging the WaveGAN architecture and the COALA model. It provides a simple method for text-controlled GAN audio generation, allowing users to create audio clips corresponding to specific textual descriptions.
Key Features
Text-to-Audio Generation: Convert textual descriptions into corresponding audio clips.
WaveGAN Integration: Utilize the WaveGAN model for generating audio waveforms.
COALA Model: Employ the COALA model for learning semantically enriched audio representations.
Pretrained Models: Access pretrained models for both the audio and tag encoders.
Command-Line Interface (CLI): Generate audio samples directly from the command line.
Colab Notebook: Experiment with the framework in an interactive Colab notebook.
Android DevHub
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