Punjabi Podcast Audio Collection with Dual-Channel Format

A large-scale collection of 4,840 hours of processed Punjabi dual-channel podcast audio recordings. The dataset also contains 57,568 hours of processed podcast audio across 12 languages. It was created by InfoBayAI and last updated on June 5, 2026.

Use Cases

• Training speech-to-text models based on real-world Punjabi conversations.
• Developing speaker diarization systems based on dual-channel audio format.
• Building multilingual conversational AI agents based on podcast content across 12 languages.
• Analyzing natural speech patterns and intonation in Punjabi audio.
• Creating synthetic speech or voice cloning models using high-quality podcast recordings.

Strengths

• Contains 4,840 hours of processed Punjabi audio, providing substantial material for training.
• Includes 57,568 hours of processed audio across 12 languages, offering multilingual scope.
• Features dual-channel format, which likely separates speaker audio for clearer analysis.
• Captures real-world podcast conversations across diverse topics and formats.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update date is in the future (2026).

Provenance

Source

InfoBayAI

Freshness

Last updated 2026-06-05 10:04:02