English Spontaneous Dialogue Dataset
Our English Spontaneous Dialogue Dataset contains 3345 hours of diverse English speech data, recorded by native speakers from various English-speaking countries. It offers an authentic reflection of real-live conversations in sectors like banking, healthcare, and retail.
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Leverage this dataset to:
- Equip your artificial intelligence systems with the capability to understand and participate in human-like conversations effectively.
- Train your models on recognizing and interpreting natural, spontaneous speech patterns.
- Enhance your AI's ability to comprehend nuanced expressions and subtleties in conversation, crucial for engaging interactions.
- Improve your models’ performance across a variety of English accents, ensuring inclusivity and broader usability in real-world applications.
This dataset is ideal for
- Developing robust voice recognition systems.
- Training AI for natural language understanding (NLU) and generation (NLG).
- Enhancing customer service bots in banking, healthcare, insurance, and retail.
- Improving speech synthesis and voice-assistant technologies
Technical Specifications
- Total Hours: 3345 hours of spontaneous dialogue, ensuring extensive coverage across various domains
- Regional Coverage: : Features native speakers from the UK, US, Ireland, Australia, and India.
- Audio Quality: Recorded in WAV format at 8kHz, 16 bit per sample, balancing file size and audio fidelity for efficient processing.
- Recording Environments: Includes both noisy and silent backgrounds to simulate real-world environments, enhancing model robustness.
- Domains: banking, healthcare, retail, insurance, and telecommunications for domain-specific model training.
- Communication Band: Broadband, capturing a wide range of vocal frequencies for detailed audio analysis.
- Sample Rate: 8Hz, tailored for telephony applications and optimized for voice recognition technologies.
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License Information
This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.
