English Spontaneous IVR Dataset
Introducing our English Spontaneous IVR Dataset, featuring 1566 hours of interactive voice response (IVR) communications recorded in English across banking, telecommunications, insurance, and retail. This dataset includes spontaneous queries to an IVR system by individuals from the US, UK, and India, covering a broad spectrum of real-life situations.
Amount
Field
Region
Clarity
Leverage this dataset to:
- Real-world IVR interactions to boost your AI's grasp of natural language queries, enabling it to comprehend a wide range of customer requests accurately.
- Refine your AI's speech recognition capabilities, ensuring reliable performance even in challenging, noisy conditions.
- Train your AI to offer more intuitive and responsive interactions through IVR systems, making every customer interaction smoother and more efficient.
- Prepare your models to deal with the intricacies of human communication, including understanding various accents, phrasings, and intentions, enhancing the AI’s versatility across different domains.
This dataset is ideal for
- IVR System Development and Optimization
- Speech Recognition and Natural Language Processing (NLP)
- Customer Service Automation
- Conversational AI Applications
Technical Specifications
- Total Hours: 1566 hours, providing a broad and diverse set of data points.
- Audio Format: WAV
- Sample Rate: 8kHz, optimized for telephony applications.
- Bits Per Sample: 16 bit, ensuring clear audio quality.
- Recording Environment: Includes both noisy and silent settings, simulating real-world conditions.
- Communication Band: Narrowband, focused on the vocal frequency range for telephony.
- Device Type: Mobile, reflecting the common use case for IVR systems.
Metadata Distribution
English (UK)
English (US)
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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.
