Jordanian Arabic Spontaneous Dialogue, telco
Start training, testing or fine-tuning your models with 22 hours of Jordanian Arabic simulated call center conversations between an agent and a 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 spontaneous speech or data from the telco 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 22 hours of Jordanian Arabic simulated call center conversations between an agent and a 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 spontaneous speech or data from the telco 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 22 hours of Jordanian Arabic simulated call center conversations between an agent and a 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 spontaneous speech or data from the telco 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 22 hours of Jordanian Arabic simulated call center conversations between an agent and a 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 spontaneous speech or data from the telco 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
AR, ar-JO
Amount
22 hours
Leverage
Advance AI's understanding and generation of natural Jordanian Arabic speech.
Equip your technologies with the ability to engage in spontaneous dialogue, essential for delivering meaningful interactions to the Jordanian Arabic-speaking demographic.
Use cases
Conversational AI and Chatbots
Speech Recognition and Analysis
Natural Language Processing and Understanding
Customer Service Automation across Key Industries
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Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
AR, ar-JO
Amount
22 hours