NVIDIA HiFiGAN Vocoder
| Property | Value |
|---|---|
| Parameter Count | 85M |
| License | CC-BY-4.0 |
| Paper | HiFi-GAN Paper |
| Sampling Rate | 22050Hz |
| Framework | PyTorch (NeMo) |
What is tts_hifigan?
The NVIDIA HiFiGAN vocoder is a state-of-the-art generative adversarial network (GAN) designed for high-fidelity speech synthesis. It converts mel spectrograms into high-quality audio waveforms, serving as a crucial component in modern text-to-speech systems. Trained on the LJSpeech dataset, this model specializes in generating female English voices with an American accent.
Implementation Details
The model architecture consists of a generator and two discriminators (multi-scale and multi-period). It utilizes transposed convolutions for upsampling mel spectrograms to audio, implementing adversarial training along with additional loss functions for stability and performance enhancement. The model is fully integrated with NVIDIA's NeMo toolkit and is compatible with NVIDIA Riva for production deployment.
- Built on PyTorch framework within NeMo ecosystem
- Operates at 22050Hz sampling rate
- Requires paired usage with spectrogram generators like FastPitch
- Supports batch processing of mel spectrograms
Core Capabilities
- High-fidelity audio generation from mel spectrograms
- Real-time audio synthesis capability
- Seamless integration with other NeMo TTS components
- Production-ready deployment through NVIDIA Riva
- Support for fine-tuning on custom datasets
Frequently Asked Questions
Q: What makes this model unique?
This HiFiGAN implementation stands out for its integration with NVIDIA's ecosystem, particularly its compatibility with Riva for production deployment. It offers high-quality voice synthesis while maintaining computational efficiency through its GAN-based architecture.
Q: What are the recommended use cases?
The model is ideal for text-to-speech applications requiring high-quality English speech synthesis, particularly for female voices with American accents. It's recommended for both research and production environments, especially when used in conjunction with FastPitch or similar spectrogram generators.
