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Home > All Category Datasets > Speech Recognition Datasets > 749 Hours Arabic Speech Dataset (UAE) for ASR & TTS

749 Hours Arabic Speech Dataset (UAE) for ASR & TTS

Arabic Conversation speech data
Arabic TTS dataset
Arabic ASR dataset
Arabic speech dataset
Arabic UAE speech dataset
Arabic UAE audio dataset

This dataset contains 749 hours of Arabic speech from the UAE, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel;
Country
UAE(ARE);
Language(Region) Code
ar-AE;
Language
Arabic;
Features of annotation
Transcription text, timestamp, speaker ID, gender.
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
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Dataset FAQs

What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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