Arabic Spontaneous IVR Dataset
Our new Arabic Spontaneous IVR Dataset features 900 hours of speech data from Egypt, Jordan, Yemen, and others. It's aimed at improving AI's interaction with customers in the Arabic-speaking world. This dataset supports developers in enhancing voice recognition systems, IVR solutions, and AI-driven customer service applications by providing diverse examples from banking, insurance, retail, and telecommunications sectors through spontaneous IVR interactions.
Amount
Field
Region
Clarity
Leverage this dataset to:
- Refine AI-powered customer service solutions with nuanced voice recognition.
- Train more responsive and understanding IVR systems.
- Enhance natural language processing models for Arabic Regional Coverage.
- Improve user experience in automated telephony systems across various sectors.
This dataset is ideal for
- AI developers in fintech, insurance, retail, and telecom industries.
- Voice recognition software companies focusing on Arabic language.
- Customer service technology providers seeking to upgrade IVR systems.
- NLP researchers working on dialectal Arabic.
Technical Specifications
- Total Hours: 900 hours of interactive voice response data
- Regional Coverage: Arabic from Egypt, Jordan, Yemen, and others.
- Domains: Banking, Insurance, Retail, Telecommunications.
- Recording Quality: Telephony recordings saved in 8kHz 16 bit WAV format.
- Environment: Mix of noisy and silent, simulating real-life conditions.
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Ethical Data Collection
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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.
