TTSDistil-Phonology: Speech Corpus for Neural Text-to-Speech Research

A speech dataset developed for Text-to-Speech research and model training. The dataset is part of an ongoing research project by ShiniChien focused on building high-quality speech corpora for modern neural TTS systems. It was last updated on June 30, 2026, and is actively maintained with continuous improvements in data quality and transcription consistency.

Use Cases

• Training neural TTS models based on the described high-quality speech corpus.
• Researching phonology and speech synthesis based on the dataset's focus.
• Improving transcription consistency in TTS pipelines based on the described ongoing improvements.
• Benchmarking TTS model performance based on the research-oriented corpus.

Strengths

• Actively maintained with continuous improvements in data quality, transcription consistency, metadata, and organization.
• Developed specifically for modern neural TTS systems, suggesting a contemporary focus.
• Part of an ongoing research project, indicating potential for updates and refinement.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.
• The full description is hosted externally, requiring a click-through for complete details.

Provenance

Source

huggingface user ShiniChien

Collection Method

Likely recorded speech, but specific gathering method is not detailed.

Freshness

Last updated 2026-06-30 17:22:52; freshness should be verified.