Urdu Call Center Speech Dataset for Travel

This Urdu Call Center Speech Dataset for the Travel industry is purpose-built to power the next generation of voice AI applications for travel booking, customer support, and itinerary assistance. With over 30 hours of unscripted, real-world conversations, the dataset enables the development of highly accurate speech recognition and natural language understanding models tailored for Urdu -speaking travelers.

Created by FutureBeeAI, this dataset supports researchers, data scientists, and conversational AI teams in building voice technologies for airlines, travel portals, and hospitality platforms.

The dataset includes 30 hours of dual-channel audio recordings between native Urdu speakers engaged in real travel-related customer service conversations. These audio files reflect a wide variety of topics, accents, and scenarios found across the travel and tourism industry.

Inbound and outbound conversations span a wide range of real-world travel support situations with varied outcomes (positive, neutral, negative).

These scenarios help models understand and respond to diverse traveler needs in real-time.

Each call is accompanied by manually curated, high-accuracy transcriptions in JSON format.

Extensive metadata enriches each call and speaker for better filtering and AI training:

This dataset is ideal for a variety of AI use cases in the travel and tourism space:

We regularly expand this dataset with fresh audio and provide custom options:

This travel-focused Urdu call center dataset is commercially licensed and ready for enterprise or research deployment.