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57k+ Hours of Single and Dual Channel Audio Podcast
Audio, Speech & Acoustic Datasets
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£428,100
About
57K+ Hours Single & Dual-Channel Podcast Audio Dataset
Description
The 57K+ Hours Single & Dual-Channel Podcast Audio Dataset is a large-scale, high-quality collection of podcast recordings designed to support the development, training, fine-tuning, and evaluation of speech and language AI systems. The dataset includes over 57K+ hours of podcast audio in both single-channel and dual-channel formats.
The single-channel recordings provide mixed audio captured in a single stream, while the dual-channel recordings capture each speaker on a separate audio channel, enabling advanced speaker separation and conversational analysis. The dataset is suitable for Automatic Speech Recognition (ASR), speaker diarization, speech enhancement, conversational AI, Natural Language Processing (NLP), speech analytics, audio transcription, language modeling, and other machine learning applications. With diverse speakers, accents, speaking styles, and recording environments, this dataset is valuable for both academic research and commercial AI development.
Note: Pricing varies depending on several factors, including the language, total audio hours, metadata availability, number of attributes, annotation requirements, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| Audio Format | High-quality WAV audio files |
| Channel Configuration | Single-Channel and Dual-Channel |
| Dataset Size | 57K+ hours of podcast audio |
| Audio Quality | High-fidelity recordings |
| Speaker Diversity | Multiple speakers with diverse accents, genders, and speaking styles |
Distribution
The dataset is distributed in an organized directory structure for easy integration into AI, machine learning, and speech processing pipelines.
- Format: WAV, OBB, MP3 audio files
Data Volume
The final dataset configuration may vary depending on the selected package.
- Total Audio: 57,000+ hours
- Channel Types: Single-Channel and Dual-Channel
- Audio Files: Thousands of podcast recordings
Usage
This data product is ideal for a variety of applications:
- Automatic Speech Recognition (ASR): Train and evaluate multilingual speech recognition systems.
- Speaker Diarization: Separate and identify individual speakers in conversations.
- Speech-to-Text: Develop highly accurate transcription systems.
- Conversational AI: Build voice assistants, virtual agents, and dialogue systems.
- Natural Language Processing (NLP): Support language understanding and speech-based NLP applications.
- Speech Analytics: Analyze spoken conversations for business intelligence and research.
- Speaker Recognition: Develop speaker identification and verification models.
- Speech Enhancement: Improve audio quality and reduce background noise.
- Language Modeling: Train foundation models and large language models using conversational speech.
- Machine Learning Research: Benchmark and evaluate speech AI algorithms.
Coverage
- Geographic Coverage: Global, featuring recordings from multiple regions and languages.
- Time Range: Varies depending on the dataset release and recording period.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| audio_file | String | Audio file name or path | WAV, OBB, MP3 file |
| language | String | Language of the recording | Multiple languages |
| channel_type | String | Audio channel configuration | Single-Channel, Dual-Channel |
| duration_seconds | Float | Recording duration in seconds | Positive numeric value |
| sample_rate | Integer | Audio sampling frequency | 16000 Hz, 22050 Hz, 44100 Hz, 48000 Hz |
| bit_depth | Integer | Audio bit depth | 16-bit, 24-bit |
| speaker_count | Integer | Number of speakers in the recording | One or more |
| accent | String | Speaker accent (if available) | Language or region-specific |
| gender | String | Speaker gender (if available) | Male, Female, Mixed |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£428,100
Download Dataset in AUDIO Format
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