--- license: cc-by-4.0 language: - en --- ### Dataset Summary This dataset is a derived version of the [LibriTTS](https://openslr.org/60) corpus, converted into larger parquet files for optimized I/O performance on high-performance computing clusters. The dataset maintains the high-quality, multi-speaker, text-to-speech (TTS) alignment of LibriTTS, with over 585 hours of English audiobook recordings and corresponding transcriptions. This format is ideal for large-scale training in speech synthesis and TTS tasks. --- ### Source Data - **Original Dataset**: [LibriTTS](https://openslr.org/60) - **License**: The original LibriTTS dataset is licensed under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). This derived dataset retains the same license. ### Modifications - **Data Format**: The data has been restructured into larger parquet files to enhance I/O efficiency, reducing load times for distributed training environments. - **Storage Optimization**: This derived dataset improves upon the storage requirements and retrieval efficiency, leveraging the parquet format's compression capabilities. ### Dataset Structure - **File Format**: Parquet files. - **Sampling Rate**: 24 kHz (same as LibriTTS). - **Speaker Details**: Over 2,400 unique speakers with balanced representation of male and female voices, retained from LibriTTS. ### Attribution This dataset is based on work by [LibriTTS](https://openslr.org/60), with modifications for I/O efficiency by converting to parquet file format. Please cite the original LibriTTS dataset in any publications or projects.