mumospee_libritts / README.md
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metadata
license: cc-by-4.0
language:
  - en

Dataset Summary

This dataset is a derived version of the LibriTTS 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

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, with modifications for I/O efficiency by converting to parquet file format. Please cite the original LibriTTS dataset in any publications or projects.