Arabic Podcast Audio Dataset with 6,024 Hours Across 12 Languages

A large-scale collection of 6,024 hours of processed Arabic podcast audio recordings, containing 57,568 hours of processed podcast audio recordings across 12 languages. It was created by InfoBayAI and last updated on 2026-06-08. The dataset captures real-world interactions across diverse topics and formats.

Use Cases

• Train automatic speech recognition models based on natural Arabic speech patterns.
• Develop speech synthesis systems based on diverse speaker variability.
• Build conversational AI agents based on authentic podcast environments and interactions.
• Research multilingual speech processing based on audio across 12 languages.

Strengths

• Large scale with 6,024 hours of processed Arabic audio.
• Multilingual coverage across 12 languages.
• Captures natural speech patterns and speaker variability mentioned in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Freshness should be verified as the last update date is 2026-06-08.

Provenance

Source

InfoBayAI

Freshness

Last updated 2026-06-08 06:54:19