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Home > All Category Datasets > Speech Recognition Datasets > 330 Hours Dari Speech Dataset for Speech Recognition and AI Training

330 Hours Dari Speech Dataset for Speech Recognition and AI Training

dari speech dataset
dari asr dataset
dari speech recognition dataset
dari audio dataset
low resource speech dataset

This dataset contains 330 hours of Dari conversational speech collected through telephone-based dialogues across more than 20 topics and domains. Each audio sample includes accurate transcripts, speaker IDs, gender information, age information, and additional metadata. The dataset was collected from 452 native Dari speakers with diverse geographic and demographic backgrounds, 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
8kHz 8bit, a-law/u-law pcm, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Telephony
Country
Afghanistan(AFG)
Language
Dari
Speaker
452 people in total, 94% male and 6% female
Features of annotation
Transcription text, timestamp, speaker ID, gender
Accuracy rate
Word accuracy rate(WAR) 95%
Sample Sample
  • Audio

    مکتبهای دولتی مکتبهای شخصی وجود داره

  • Audio

    دیگه ده همی جای شما

  • Audio

    کلشان در تعلیم مصروف هستن و مکتبا همینطور فعلا خوب مکتبام شروع شدن

  • Audio

    دیگه مکتبا پوهنتونا همینطور مدرسه ها کلشان ده همیجه فعال هستن

  • Audio

    پاچای پیشینگی ما بود و حالا که هسته

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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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