Generative Audio Models
Multi-band MelGAN
Introduced by Yang et al. in Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-SpeechMulti-band MelGAN, or MB-MelGAN, is a waveform generation model focusing on high-quality text-to-speech. It improves the original MelGAN in several ways. First, it increases the receptive field of the generator, which is proven to be beneficial to speech generation. Second, it substitutes the feature matching loss with the multi-resolution STFT loss to better measure the difference between fake and real speech. Lastly, MelGAN is extended with multi-band processing: the generator takes mel-spectrograms as input and produces sub-band signals which are subsequently summed back to full-band signals as discriminator input.
Source: Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
Papers
| Paper | Code | Results | Date | Stars |
|---|
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
