Datasets:
Tasks:
Text-to-Speech
Formats:
soundfolder
Languages:
English
Size:
< 1K
Tags:
text-to-speech
License:
|
Download README.md from voxtream2/seamless: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
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https://huggingface.co/datasets/voxtream2/seamless/resolve/main/README.md
- Command line
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hf download hf://datasets/voxtream2/seamless/README.md
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curl -L -o README.md https://huggingface.co/datasets/voxtream2/seamless/resolve/main/README.md
1.51 kB
| 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 Seamless test dataset | |
| This repository contains a test dataset for the [VoXtream2](https://huggingface.co/voxtream2/model) TTS model, referred to as **Seamless test** in the paper. | |
| Audio files are derived from the [Seamless Interaction](https://huggingface.co/datasets/facebook/seamless-interaction) dataset. | |
| We build a test set from the naturalistic subset of the Seamless Interaction test split. | |
| We select 10-20-second sentences whose average speaking rates are uniformly distributed over 2-6 SPS, from 45% male and 55% female speakers. | |
| For each speaker, the 3-7-second acoustic prompt (4.7 seconds on average) is taken from another sentence with an average rate of 3-4 SPS. | |
| After removing sentences with a Whisper-large-v3 WER above 10%, we sample 322 unique sentences, totaling 1.1 hours. | |
| * Note: SPS - syllables per second, WER - word error rate | |
| ### Description | |
| - **prompt-audio** - Audio prompts from Seamless interaction dataset (24kHz, flac format). | |
| - **audio** - Audio files from Seamless interaction dataset (24kHz, flac format). | |
| - **metadata.csv** - Test protocol for **Seamless test**, listing audio prompts 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/seamless', repo_type='dataset') | |
| ``` |