SpeechBrain HiFiGAN LJSpeech Vocoder
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Paper | HiFiGAN Paper |
| Dataset | LJSpeech |
| Sampling Rate | 22.05 kHz |
What is tts-hifigan-ljspeech?
The tts-hifigan-ljspeech is a specialized vocoder model that converts mel-spectrograms into high-quality speech waveforms. Built using the HiFiGAN architecture and trained on the LJSpeech dataset, this model serves as a crucial component in text-to-speech synthesis systems.
Implementation Details
This model operates at a sampling frequency of 22.05 kHz and is implemented using the SpeechBrain framework. It processes input spectrograms with specific parameters including 80 mel bands, 256 hop length, and 1024 FFT size to generate natural-sounding speech.
- Seamless integration with SpeechBrain's ecosystem
- Compatible with both CPU and GPU inference
- Optimized for single-speaker synthesis
- Supports batch processing of spectrograms
Core Capabilities
- High-quality spectrogram-to-waveform conversion
- Real-time synthesis capability
- Integration with Tacotron2 TTS pipeline
- Efficient processing of mel-spectrograms
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for the LJSpeech dataset and provides high-quality single-speaker synthesis. It's particularly effective when paired with SpeechBrain's Tacotron2 model for end-to-end text-to-speech synthesis.
Q: What are the recommended use cases?
The model is best suited for single-speaker text-to-speech applications requiring high-quality audio output at 22.05 kHz. For multi-speaker applications, it's recommended to use the LibriTTS-trained variants mentioned in the documentation.
