| --- |
| datasets: |
| - amphion/Emilia-Dataset |
| - nvidia/hifitts-2 |
| language: |
| - en |
| license: cc-by-4.0 |
| pipeline_tag: text-to-speech |
| tags: |
| - text-to-speech |
| - zero-shot |
| - streaming |
| --- |
| |
| # Model Card for VoXtream2 |
|
|
| VoXtream2 is a zero-shot full-stream TTS model with dynamic speaking-rate control that can be updated mid-utterance on the fly. |
|
|
| ### Key features |
|
|
| - **Dynamic speed control**: Distribution matching and Classifier-free guidance allow for a fine-grained speaking rate control, which can be adjusted as the model generates speech. |
| - **Streaming performance**: Works **4x** times faster than real-time and achieves **74 ms** first packet latency in a full-stream on a consumer GPU. |
| - **Translingual capability**: Prompt text masking enables support of acoustic prompts in any language. |
|
|
| ## Get started |
|
|
| ### Usage |
|
|
| * Prompt audio: a file containing 3-10 seconds of the target voice. The maximum supported length is 20 seconds (longer audio will be trimmed). |
| * Text: What you want the model to say. The maximum supported length is 1000 characters (longer text will be trimmed). |
| * Speaking rate (optional): target speaking rate in syllables per second. |
|
|
| #### Output streaming |
| ```bash |
| python voxtream/run.py \ |
| --prompt-audio assets/audio/english_male.wav \ |
| --text "In general, however, some method is then needed to evaluate each approximation." \ |
| --output "output_stream.wav" |
| ``` |
|
|
| #### Full streaming (slow speech, 2 syllables per second) |
| ```bash |
| python voxtream/run.py \ |
| --prompt-audio assets/audio/english_female.wav \ |
| --text "Staff do not always do enough to prevent violence." \ |
| --output "full_stream_2sps.wav" \ |
| --full-stream \ |
| --spk-rate 2.0 |
| ``` |
|
|
| * Note: Initial run may take some time to download model weights and warmup model graph. |
|
|
| ## Training Data |
|
|
| The model was trained on [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) and [HiFiTTS2](https://huggingface.co/datasets/nvidia/hifitts-2) datasets. |
|
|
|
|
| ### 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. |
|
|
