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Home > All Category Datasets > Speech Recognition Datasets > 144 Hours Arabic Speech Dataset with Transcriptions for Speech Recognition

144 Hours Arabic Speech Dataset with Transcriptions for Speech Recognition

arabic speech dataset
arabic voice dataset
arabic speech corpus
arabic audio dataset
speaker diarization dataset

This dataset contains 144 hours of Arabic conversational speech recorded through spontaneous dialogues using smartphones. It includes high-quality transcriptions, speaker IDs, gender, and additional metadata. The recordings were collected from speakers across diverse geographic regions and demographic backgrounds, helping improve model performance in real-world conversational speech applications. The dataset has been quality-validated by multiple 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;
Content category
Recorders in free conversation without a set topic;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Language
Arabic;
Features of annotation
Transcription text, timestamp, speaker ID, gender.
Accuracy Rate
Word Accuracy Rate (WAR) 97%
Sample Sample
  • Audio

    هل في طريقة أزيد فيها مستوى التأمين على حسابي؟

  • Audio

    وإذا كنت أحتاج مستند يوضح تفاصيل التأمين لحساباتي، كيف أقدر أحصله؟

  • Audio

    طيب وش الإجراءات اللي تتم في حال صار أي خلل في البنك، كيف أقدر استرجع فلوسي؟

  • Audio

    يعني ما يحتاج أقدم طلب وأتابع الموضوع بنفسي؟

  • Audio

    تمام، بخصوص الحسابات اللي مسجل فيها أكثر من مستفيد، كيف يتم التعامل معها في التأمين؟

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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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