---
language:
- en
license: cc-by-4.0
configs:
- config_name: default
  data_files:
  - split: emilia
    path: emilia/*
  - split: hifitts2
    path: hifitts2/*
splits:
- name: emilia
  num_examples: 2240471
- name: hifitts2
  num_examples: 713769
tags:
- text-to-speech
task_categories:
- text-to-speech
---

# Model Card for VoXtream2 training dataset

This repository contains a training dataset for [VoXtream2](https://huggingface.co/herimor/voxtream2) TTS model.

The dataset contains 40k hours:

- 30k hours subset from [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) dataset.
- 10k hours subset from [HiFiTTS2](https://huggingface.co/datasets/nvidia/hifitts-2) dataset (22 kHz).

All utterances are 55 seconds long. We concatenated multiple utterances within the same speaker and padded shorter clips with silence. Sampling rate: 24kHz.

### Description

- **mimi_codes** - Tokens extracted by the [Mimi](https://huggingface.co/kyutai/mimi) audio codec (16 codebooks).
- **phone_emb_indices** - Alignment of phoneme tokens to Mimi audio frames extracted by [ClapIPA](https://github.com/lingjzhu/clap-ipa) forced aligner.
- **phone_tokens** - IPA Phoneme tokens extracted with [espeak-ng](https://github.com/espeak-ng/espeak-ng) phonemizer.
- **sem_label_shifts** - Monotonic phoneme alignment labels.
- **punctuation** - Punctuation tokens.
- **spk_templates** - Speaker templates for the first 3 seconds of audio extracted by [ReDimNet](https://github.com/IDRnD/redimnet) model.

### Sources 

- **Repository:** [repo](https://github.com/herimor/voxtream) 
- **Paper:** [paper](https://arxiv.org/pdf/2603.13518) 
- **Demo:** [demo](https://herimor.github.io/voxtream2) 

## Usage

To download the dataset, use the following code:

```bash
from huggingface_hub import snapshot_download

local_dir = snapshot_download('herimor/voxtream2-train', repo_type='dataset')
```

Clone our [repo](https://github.com/herimor/voxtream) and follow the instructions in the README file.


## Citation 

```
@inproceedings{torgashov2026voxtream,
  title={Vo{X}tream: Full-Stream Text-to-Speech with Extremely Low Latency},
  author={Torgashov, Nikita and Henter, Gustav Eje and Skantze, Gabriel},
  booktitle={Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2026},
  note={to appear},
  url={https://arxiv.org/abs/2509.15969}
}

@article{torgashov2026voxtream2,
  author    = {Torgashov, Nikita and Henter, Gustav Eje and Skantze, Gabriel},
  title     = {Vo{X}tream2: Full-stream TTS with dynamic speaking rate control},
  journal   = {arXiv:2603.13518},
  year      = {2026}
}
```