en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

183 Hours Urdu Speech Dataset with Natural Dialogue Audio and Speaker Metadata

Urdu speech dataset
Urdu audio dataset
Urdu speech recognition dataset
Urdu asr dataset

This dataset contains 183 hours of Urdu spontaneous dialogue speech collected from topic-based conversations across more than 20 real-world domains. Each audio sample includes accurate transcripts, speaker IDs, gender information, age information, and additional metadata. The dataset was collected from 240 native Urdu 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 datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
16kHz 16bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
240 people in total, 57% male and 43% female;
Language
Urdu;
Features of annotation
Transcription text, timestamp, speaker ID, gender;
Accuracy rate
Word accuracy rate(WAR) 95%;
Sample Sample
  • Audio

    میں ادھر، خواب میں میں نے اس طرح دیکھا ہے مگر یہ خواب میرا پورا نہیں ہوا،

  • Audio

    مجھے تو کئی قسم کے خواب آئے ہیں، مطلب کہ جیسے ایک گھومنے پھرنے والے ہو گئے مطلب کہ،

  • Audio

    اور اگر آپ کا کوئی خواب پورا بھی ہوا ہو تو یہ تو پھر بہت اچھی بات ہے۔

  • Audio

    بندہ جب سوتا ہے تو پھر بن- بندے کو اتنی گہری میں نیند میں،

  • Audio

    گئے ہیں ادھر پردیس تھوڑا سا گھومے پھرے ہیں، enjoy کیا ہے تو ایسے ہی،

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

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.

5942baf7-cea0-4e86-8466-fc72f297c912

0206ceef-61ab-401d-bd0b-cf0edab4c8fe