English Podcast Audio Dataset with 1,165 Hours of Processed Speech

1,165 hours of processed English podcast audio recordings form part of a larger 57,568-hour multilingual collection. The dataset captures real-world interactions across diverse topics and formats to support speech AI development. It was created by InfoBayAI and last updated on Hugging Face in June 2026.

Use Cases

• Train speech recognition models based on natural speech patterns and speaker variability.
• Develop conversational AI systems based on real-world podcast interactions.
• Fine-tune audio models for podcast transcription based on diverse topics and formats.
• Research speaker diarization and variability based on authentic podcast environments.

Strengths

• Contains 1,165 hours of processed English podcast audio.
• Part of a larger collection of 57,568 hours of audio across 12 languages.
• Designed to capture natural speech patterns and speaker variability.

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.

Provenance

Source

InfoBayAI via Hugging Face.

Collection Method

Collection of processed podcast audio recordings.

Freshness

Last updated 2026-06-08 06:57:22; freshness should be verified.