Hindi Podcast Audio Collection for Speech Model Training

Hindi Podcast Asr Dataset is a large-scale collection of raw Hindi podcast audio designed for speech and language model development. It captures real-world interactions across diverse topics and formats. The dataset was created by InfoBayAI and was last updated in March 2026.

Use Cases

• Pretraining automatic speech recognition models on raw Hindi podcast audio.
• Studying natural speech patterns and speaker variability present in the audio recordings.
• Developing language models using the diverse topics and conversational formats captured in the dataset.
• Analyzing acoustic characteristics of authentic podcast environments for audio processing research.

Strengths

• Described as a large-scale collection of audio data.
• Captures real-world interactions across diverse topics and formats, preserving natural speech patterns.

Limitations

• Specific size metrics like row count, audio hours, and file formats are unknown.
• Potential limitations regarding speaker demographics, recording quality, or topic balance are not detailed.

Provenance

Source

InfoBayAI

Collection Method

Collection of raw Hindi podcast audio, method unspecified.

Freshness

Last updated March 2026.