Punjabi Podcast Audio Dataset with 4,840 Hours of Processed Speech

4,840 hours of processed Punjabi podcast audio form part of a larger 57,568-hour multilingual collection. The dataset captures real-world interactions across diverse topics and formats, designed to support speech and conversational AI systems. It was created by InfoBayAI and last updated on HuggingFace in June 2026.

Use Cases

• Train automatic speech recognition (ASR) models based on natural Punjabi speech patterns.
• Develop text-to-speech (TTS) systems based on speaker variability and authentic podcast environments.
• Build conversational AI agents based on real-world podcast interactions across diverse topics.
• Fine-tune multilingual speech models based on the dataset's inclusion of 12 languages.

Strengths

• Large-scale collection of 4,840 hours of processed Punjabi audio.
• Captures natural speech patterns and speaker variability from authentic podcast environments.
• Part of a broader multilingual resource containing 57,568 hours of audio across 12 languages.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, limiting suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026-06-08).

Provenance

Source

InfoBayAI via HuggingFace.

Collection Method

Collection of processed podcast audio recordings.

Freshness

Last updated 2026-06-08 04:22:33; freshness should be verified.