Farsi ASR Unified Cleaned: Persian Speech-to-Text Audio Dataset

A large-scale collection of Persian (Farsi) speech-to-text data designed for modern machine learning workflows. The dataset consolidates audio-text pairs from multiple open sources and applies a rigorous cleaning and normalization pipeline. It was created by kiarashQ and last updated on November 3, 2025.

Use Cases

• Train automatic speech recognition models based on the described audio-text pairs.
• Fine-tune pre-trained speech models for Persian language tasks based on the standardized collection.
• Benchmark ASR system performance on cleaned and normalized Farsi speech data.
• Develop speech-to-text applications for Persian based on the consolidated open-source data.

Strengths

• Described as a large-scale collection of speech-to-text data.
• Underwent a rigorous cleaning and normalization pipeline according to the description.
• Consolidates data from multiple open sources.

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 is unknown, which may limit suitability assessment.

Provenance

Source

Multiple open sources consolidated by author kiarashQ.

Collection Method

Consolidated from multiple sources and cleaned via a described pipeline.

Freshness

Last updated 2025-11-03 06:30:30; freshness should be verified.