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300 Hours Arabic Financial Speech Dataset – Banking & FinTech Audio for Speech Recognition

arabic financial speech dataset
banking speech dataset
fintech speech dataset
financial NLP dataset
financial conversational AI dataset

300 hours of Arabic financial speech dataset featuring real-world conversations and monologue recordings across a wide range of financial topics and terminology. The dataset mirrors real-world interactions. All recordings are transcribed and include rich metadata such as speaker ID, gender, and other attributes. Collected from diverse speakers across multiple regions, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Covering various financial professional terminologies, primarily focuses on macroeconomics, microeconomics
Recording condition
Low background noise
Country
Arab countries
Language
Arabic
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, sensitive information
Accuracy
Word Accuracy Rate (WAR) at least 98%
Sample Sample
  • Audio

    والقوانين تتطور مع الزمن ب- بسرعة ما تنتظر، بدون بعيد عن البروقراطية، وأنت تشوف اقتصاد المعرفة ينمو يسرع.

  • Audio

    ومعاصرته لمرحلتين تاريخية، المرحلة التي وصل فيها العجز إلى مئة في المئة من الناتج المحلي.

  • Audio

    الفرق بين الاقتراض الاستهلاكي والاقتراض اللي فعلا يكون مفيد للإنسان.[N]

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