Persian Voice V1: Spelling-Corrected Persian Speech for ASR

Persian-language speech data derived from Mozilla's Common Voice 17 dataset. The dataset has been refined to correct spelling inconsistencies and typographical errors present in the original collection. It was created by author 'vhdm' and was last updated on June 11, 2025.

Use Cases

• Training Persian speech recognition models based on corrected transcriptions.
• Fine-tuning ASR systems for improved accuracy using the refined audio-text pairs.
• Benchmarking ASR model performance on a cleaned Persian speech corpus.
• Studying the impact of transcription quality on speech model alignment.

Strengths

• Derived from the established Mozilla Common Voice 17 corpus.
• Specifically curated to correct spelling inconsistencies and typographical errors that impacted transcription accuracy.
• Last updated on June 11, 2025.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.

Provenance

Source

Mozilla Common Voice 17 dataset.

Collection Method

Curated refinement of the Persian subset to correct spelling errors.

Freshness

Last updated 2025-06-11 11:53:19; freshness should be verified.

Geography

Persian (Farsi) language speakers.