Hindi IVR, banking
Start training, testing or fine-tuning your models with 75 hours of Hindi Queries from people to an IVR system. Each call has a query repeated in 3 different wordings, spontaneously created by the client. This custom-created dataset is perfect for those who want to make sure their models are able to handle telephony data, or need to improve how their models handle IVR queries from the banking domain. Recordings are saved as channel separated .wav files in 8kHz 16 bit per channel, and are human-transcribed for direct use in your training pipelines.
Start training, testing or fine-tuning your models with 75 hours of Hindi Queries from people to an IVR system. Each call has a query repeated in 3 different wordings, spontaneously created by the client. This custom-created dataset is perfect for those who want to make sure their models are able to handle telephony data, or need to improve how their models handle IVR queries from the banking domain. Recordings are saved as channel separated .wav files in 8kHz 16 bit per channel, and are human-transcribed for direct use in your training pipelines.
Start training, testing or fine-tuning your models with 75 hours of Hindi Queries from people to an IVR system. Each call has a query repeated in 3 different wordings, spontaneously created by the client. This custom-created dataset is perfect for those who want to make sure their models are able to handle telephony data, or need to improve how their models handle IVR queries from the banking domain. Recordings are saved as channel separated .wav files in 8kHz 16 bit per channel, and are human-transcribed for direct use in your training pipelines.
Start training, testing or fine-tuning your models with 75 hours of Hindi Queries from people to an IVR system. Each call has a query repeated in 3 different wordings, spontaneously created by the client. This custom-created dataset is perfect for those who want to make sure their models are able to handle telephony data, or need to improve how their models handle IVR queries from the banking domain. Recordings are saved as channel separated .wav files in 8kHz 16 bit per channel, and are human-transcribed for direct use in your training pipelines.
Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
hi-IN
Amount
75 hours
Leverage
Real-world IVR interactions to boost your AI's grasp of Hindi natural language queries, enabling it to comprehend a wide range of customer requests accurately.h.
Refine your AI's speech recognition capabilities, ensuring reliable performance even in challenging, noisy conditions.
Use cases
Customer service technology providers seeking to upgrade IVR systems.
Voice recognition software companies focusing on Hindi language.
Do you need a specific dataset?
We understand the uniqueness of every project. That's why we offer customizable dataset solutions to match your specific requirements.
Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
hi-IN
Amount
75 hours