Live Arabic Call Center Conversations
The Live Arabic Call Center Conversations dataset provides 600 hours of real and consented audio data, capturing live call center interactions across multiple high-value domains, including e-commerce, sales, banking, insurance and medicine. Available in Arabic from Egypt, UAE and Yemen, this dataset includes valuable metadata and is ideal for training AI models customer service and multilingual conversational AI solutions.
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Use this dataset to:
- Customer Service Automation: Enhance your AI-powered call center systems by training models that automatically route calls, respond to queries and generate real-time insights based on customer interactions.
AI use cases:
Speech Analytics and Call Monitoring: Train AI models to analyze call center conversations for sentiment analysis, issue resolution and performance tracking, enabling better agent training and performance management.
Enhanced ASR and Speaker ID Training: Commission transcription and speaker diarization services to improve ASR models and speaker identification accuracy, resulting in more precise text outputs and better speaker differentiation in real-world call center environments.
Technical Specifications
- Type: Audio
- Language: Arabic
- Quantity: 600 hours
- Domain: Diverse Customer Services
- Data Type: Live
- File Format: WAV
- Sample Rate: 8 kHz
- Bit Rate: 16 bit
- Metadata: audio file name, domain/category, gender(csr), gender(client), accent, call inbound/call outbound
- Transcription and Speaker Diarization: Available as an added service.
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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.