This dataset provides **201 hours** of spontaneous dialogue recordings featuring **English Black American** speech from sectors like **Banking**, **Insurance**, **Retail**, and **Telecommunication**. Meticulously crafted with **native English speakers** from the US, it serves as an invaluable resource for developing and refining voice recognition technologies across diverse applications.

![82_English Black American Spontaneous Dialogue.jpg](https://prdstrapimediastorage.blob.core.windows.net/prdstrapimediastorage/assets/82_English_Black_American_Spontaneous_Dialogue_172080b752.jpg)

Amount

Field

Region

Clarity

## Leverage this dataset to: 

- Train voice recognition systems to accurately interpret English Black American vernacular.
- Develop AI models that can effectively process and generate natural, spontaneous dialogue recordings.
- Enhance customer service bots with nuanced understanding of diverse American dialects.
- Boost the robustness of speech recognition models for telephony applications in diverse environments.


## This dataset is ideal for

- Tech companies crafting voice-enabled systems and advanced customer service AI.
- Researchers and technologists focused on enhancing English language processing and speech recognition technologies.
- Startups aiming to innovate conversational AI for diverse American markets.
- Educational platforms that teach English language skills through authentic, real-life conversations.



## Technical Specifications
- **Total Hours**: 201 hours of high-quality audio
- **Regional Coverage**: English Black American
- **Format**: Recorded in telephony quality, saved in 8kHz 16-bit per channel WAV format.
- **Domains**: Banking, Telecommunication, Insurance, and Retail.
- **Recording Environment**: Includes both noisy and silent environments for robust training.


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English Black American Spontaneous Dialogue Dataset