Persian Farsi Narration Dataset for Text-to-Speech Model Training

A high-quality, single-speaker Persian (Farsi) narration dataset intended for training text-to-speech models. The dataset was created by author pymmdrza and was last updated on January 21, 2026. The description emphasizes professional narration quality for TTS applications.

Use Cases

• Train text-to-speech models based on the described high-quality, single-speaker narration.
• Benchmark speech synthesis quality for the Persian language based on the professional narration standard mentioned.
• Develop voice cloning or voice conversion systems for Persian based on the single-speaker characteristic.

Strengths

• Description emphasizes 'High-Quality' and 'Professional' narration for TTS training.
• Dataset is designed for a specific, single-speaker use case, which can provide consistency.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• The description metadata is limited; actual data and audio quality require manual inspection after download.

Provenance

Source

huggingface

Collection Method

Likely recorded narration by a single professional speaker, as suggested by the description.

Freshness

Last updated 2026-01-21 02:11:57; freshness should be verified.