Datasets:

voxtream2
/

train

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:

30k hours subset from Emilia dataset.
10k hours subset from HiFiTTS2 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 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.

Usage

To download the dataset, use the following code:

from huggingface_hub import snapshot_download

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