InfoBayAI/Audio_Podcast_English

Dataset Description:

This dataset is a large-scale collection of raw English podcast audio, specifically designed to support the development and pretraining of speech and language models. It features multi-speaker conversational audio, capturing real-world interactions across diverse topics and formats. The dataset preserves natural speech patterns, speaker variability, and authentic podcast environments, making it highly valuable for building robust and scalable AI systems. Additionally, this dataset can be used in data pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows.

Key Use Cases

-Pretraining Automatic Speech Recognition (ASR) systems
-Speech-to-Text (STT) systems
-Self-supervised learning (SSL) for speech models
-Large Language Models (LLMs) with audio understanding capabilities
-Speech representation learning
-Noise-robust and real-world voice applications

Dataset Specification

-Language: English
-Type: Raw, unprocessed podcast audio, Single Channel  
-Speech Style: Natural, conversational, unscripted
-Audio Conditions: Real-world environments (including noise and variability)
-Domains: discussions, storytelling, interviews, etc.
-Speaker Diversity: Multi-speaker (2 speakers)
-Format: .wav, .mp3, .ogg, etc.
-Sampling Rate: 8000 Hz
-Duration: 1165 hours

Value of Raw Multi-Speaker Data

This dataset is particularly valuable due to its combination of raw audio and multi-speaker dynamics. It enables:

-Training models that can handle real-world conversational complexity
-Improved performance in noisy and uncontrolled environments
-Development of accurate speaker diarization systems
-Better generalization across accents, tones, and speaking styles
-Flexible preprocessing and custom annotation pipelines tailored to specific business needs

Basic JSON Schema

{
  "id": "string",
  "audio_filepath": "string",
  "duration": "float",
  "language": "string",
  "sample_rate": "integer",
  "format": "string",
  "num_speakers": "integer",
  "domain": "string",
  "metadata": {
    "source": "string",
    "recording_condition": "string"
  }
}

Full Dataset Overview

Total Duration (in hours): 57,568

This dataset is part of a large multilingual podcast audio collection covering the following languages: Arabic, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Punjabi, Tamil, Telugu, and Urdu.

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.

-Ph: (91) 8303174762
-Email: vipul@infobay.ai