Alavan TTS Setare: Persian Speech Recordings with Transcripts

A Persian text-to-speech dataset containing paired audio recordings and transcriptions. It is designed for training and evaluating TTS systems, created by alavanaico and last updated on 2025-09-20.

Use Cases

• Train text-to-speech models based on paired audio and text data.
• Evaluate speech synthesis quality for Persian language systems.
• Fine-tune pre-trained TTS models on Persian speech data.
• Conduct research on Persian phonetics and speech generation.

Strengths

• Data is explicitly designed for TTS system training and evaluation.
• Structure includes a metadata CSV file linking audio file paths to transcriptions.

Limitations

• Dataset size, row count, and audio duration are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict usage.

Provenance

Source

huggingface

Freshness

Last updated 2025-09-20 06:27:39; freshness should be verified.