speechbrain/tts-hifigan-libritts-22050Hz
text-to-speech model by speechbrain
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This repository provides all the necessary tools for using a HiFIGAN vocoder trained with LibriTTS (with multiple speakers). The sample rate used for the vocoder is 22050 Hz. The pre-trained model takes in input a spectrogram and produces a waveform in output. Typically, a vocoder is used after a TTS model that converts an input text into a spectrogram. Alternatives to this models are the following: Please notice that we encourage you to read our tutorials and learn more about SpeechBrain. To…
Read the full model card ↗ · Preview checked 2026-10-31T17:45:27.431Z
Inside the original model card — Document outline
- Vocoder with HiFIGAN trained on LibriTTS
- Install SpeechBrain
- Using the Vocoder
- Using the Vocoder with the TTS
- Inference on GPU
- Training
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
speechbrain/tts-hifigan-libritts-22050Hz is a text-to-speech model repository published by speechbrain on Hugging Face. The source reports the speechbrain library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- speechbrain
- Recent downloads (30 days)
- 213,637
- Cumulative likes
- 6
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-10-26T02:00:50.000Z
- Last modified
- 2024-02-25T19:57:04.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.