Arabic Call Center
Start training, testing or fine-tuning your speech models with 1000 hours of Arabic live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 1000 hours of Arabic live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 1000 hours of Arabic live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. Transcription, either with model or human quality, is available as a service.
Start training, testing or fine-tuning your speech models with 1000 hours of Arabic live, non-simulated call center conversations. This dataset is perfect for those who are looking for instances of spontaneous speech in call center settings, recorded over telephony for their ASR conversational analysis models. Transcription, either with model or human quality, is available as a service.
Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
AR
Amount
1K hours
Leverage
Enhance your AI-powered Arabic call center systems by training models that automatically route calls, respond to queries and generate real-time insights based on customer interactions.
Use cases
Train AI models to analyze call center conversations for sentiment analysis, issue resolution and performance tracking, enabling better agent training and performance management.
Improve ASR models and speaker identification accuracy, resulting in more precise text outputs and better speaker differentiation in real-world call center environments.
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Dataset specs
Type
Audio
Sound quality
8kHz, 16 bit per channel
Region/Locale
AR
Amount
1K hours