Datasets:
Tasks:
Text-to-Speech
Formats:
soundfolder
Languages:
English
Size:
< 1K
Tags:
text-to-speech
License:
| license: cc-by-nc-4.0 | |
| task_categories: | |
| - text-to-speech | |
| language: | |
| - en | |
| tags: | |
| - text-to-speech | |
| size_categories: | |
| - n<1K | |
| # Model Card for VoXtream2 Emilia dev dataset | |
| This repository contains a dev dataset for the [VoXtream2](https://huggingface.co/voxtream2/model) TTS model, referred to as **Emilia speaking-rate** in the paper. | |
| Audio prompts are derived from the [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) dataset. | |
| We selected 62 speakers (balanced by gender), half of whom include filler words in the prompt (uniformly distributed across genders). | |
| Each speaker provides three audio prompts with slow (2.0 ± 0.5 SPS), normal (4.0 ± 0.6 SPS), and fast (5.6 ± 0.5 SPS) speaking rates. | |
| The prompt length distribution is similar to SEED test-en, with a mean of 4.5 seconds. | |
| Texts were generated using ChatGPT (2 per audio prompt), prompted with conversational-style sentences from the selected speakers and instructed to produce stylistically similar sentences containing 30-40 syllables (approximately 9-10 seconds of speech at a moderate speaking rate). | |
| * Note: SPS - syllables per second. | |
| ### Description | |
| - **prompt-audio** - Audio prompts from Emilia-EN dataset (24kHz, flac format). | |
| - **metadata.csv** - Test protocol for **Emilia speaking-rate** test, listing audio prompts with speaking rate characteristics and corresponding sentences to generate. | |
| ## Usage | |
| To download the dataset, use the following code: | |
| ```bash | |
| from huggingface_hub import snapshot_download | |
| local_dir = snapshot_download('voxtream2/emilia-dev', repo_type='dataset') | |
| ``` |