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**. 

![49_English Spontaneous Dialogue.jpg](https://prdstrapimediastorage.blob.core.windows.net/prdstrapimediastorage/assets/49_English_Spontaneous_Dialogue_0a8e759252.jpg)

Amount

Banking, Healthcare, Retail, Insurance & Telco

Fields

Region

Clarity

## 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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## Why Choose Our Dataset?

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### Ethical Data Collection
At Defined.ai, we are committed to ethical data collection practices, ensuring that our datasets are derived from fully consented, transparent processes. Our global, diverse crowdsourcing strategy not only expands the dataset's scope, but also steadfastly maintains standards of privacy and integrity. [Download our Ethical AI Manifesto](https://connect.defined.ai/ethical-ai-manifesto?utm_source=website&amp;utm_medium=menu&amp;utm_campaign=ethical-ai-manifesto).

### Tailored to Your Needs
We understand the uniqueness of every project. That's why we offer customizable dataset solutions to match your specific requirements, from particular object classes to desired languages and formats. Our goal is to deliver data that not only meets but exceeds your project expectations.

### Partnering for Innovation
Selecting Defined.ai as your data partner opens doors to innovation. Our datasets are foundational elements for developing sophisticated AI models across various applications. With us, you gain more than just data; you leverage our expertise and dedication to advancing AI technology.


### License Information

This dataset is covered by our standard [Data license agreement](https://www.defined.ai/dataset/data-licence-agreement). The license agreement is perpetual and allows for the commercialization of all models built on the data.
