metadata
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 TTS model.
The dataset contains 40k hours:
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 audio codec (16 codebooks).
- phone_emb_indices - Alignment of phoneme tokens to Mimi audio frames extracted by ClapIPA forced aligner.
- phone_tokens - IPA Phoneme tokens extracted with 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 model.
Sources
Usage
To download the dataset, use the following code:
from huggingface_hub import snapshot_download
local_dir = snapshot_download('herimor/voxtream2-train', repo_type='dataset')
Clone our repo 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}
}