|
Download README.md from Alignment-Lab-AI/vstr: direct link, hf CLI and curl.
- Browser
- Download file 2.7 kB
-
https://huggingface.co/Alignment-Lab-AI/vstr/resolve/main/README.md
- Command line
-
hf download hf://Alignment-Lab-AI/vstr/README.md
-
curl -L -o README.md https://huggingface.co/Alignment-Lab-AI/vstr/resolve/main/README.md
2.7 kB
| language: | |
| - en | |
| license: cc-by-4.0 | |
| pipeline_tag: text-to-speech | |
| tags: | |
| - voxtream | |
| - text-to-speech | |
| # Model Card for VoXtream | |
| VoXtream, a fully autoregressive, zero-shot streaming text-to-speech system for real-time use that begins speaking from the first word. | |
| ### Key features | |
| - **Streaming**: Support a full-stream scenario, where the full sentence is not known in advance. The model takes the text stream coming word-by-word as input and outputs an audio stream in 80ms chunks. | |
| - **Speed**: Works **5x** times faster than real-time and achieves **102 ms** first packet latency on GPU. | |
| - **Quality and efficiency**: With only 9k hours of training data, it matches or surpasses the quality and intelligibility of larger models or models trained on large datasets. | |
| ### Model Sources | |
| - **Repository:** [repo](https://github.com/herimor/voxtream) | |
| - **Paper:** [paper](https://arxiv.org/pdf/2509.15969) | |
| - **Demo:** [demo](https://herimor.github.io/voxtream) | |
| ## Get started | |
| ### Installation | |
| ```bash | |
| pip install voxtream | |
| ``` | |
| ### Usage | |
| #### Output streaming | |
| ```bash | |
| voxtream \ | |
| --prompt-audio assets/audio/male.wav \ | |
| --prompt-text "The liquor was first created as 'Brandy Milk', produced with milk, brandy and vanilla." \ | |
| --text "In general, however, some method is then needed to evaluate each approximation." \ | |
| --output "output_stream.wav" | |
| ``` | |
| * Note: Initial run may take some time to download model weights. | |
| #### Full streaming | |
| ```bash | |
| voxtream \ | |
| --prompt-audio assets/audio/female.wav \ | |
| --prompt-text "Betty Cooper helps Archie with cleaning a store room, when Reggie attacks her." \ | |
| --text "Staff do not always do enough to prevent violence." \ | |
| --output "full_stream.wav" \ | |
| --full-stream | |
| ``` | |
| ### Out-of-Scope Use | |
| Any organization or individual is prohibited from using any technology mentioned in this paper to generate someone's speech without his/her consent, including but not limited to government leaders, political figures, and celebrities. If you do not comply with this item, you could be in violation of copyright laws. | |
| ## Training Data | |
| The model was trained on a 9k-hour subset from [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) and [HiFiTTS2](https://huggingface.co/datasets/nvidia/hifitts-2) datasets. You can download it [here](https://huggingface.co/datasets/herimor/voxtream-train-9k). For more details, please check our paper. | |
| ## Citation | |
| ``` | |
| @article{torgashov2025voxtream, | |
| author = {Torgashov, Nikita and Henter, Gustav Eje and Skantze, Gabriel}, | |
| title = {Vo{X}tream: Full-Stream Text-to-Speech with Extremely Low Latency}, | |
| journal = {arXiv:2509.15969}, | |
| year = {2025} | |
| } | |
| ``` |