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m.nexdata.datatang.com

1460 Hours Gujarati Speech Dataset for ASR and AI Model Training

gujarati audio dataset
gujarati asr dataset
gujarati speech dataset
gujarati tts dataset
indian language speech dataset
low resource speech dataset

This dataset contains Gujarati speech, covers several domains, mirrors real-world interactions. Transcribed with text content, 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.

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SpecificationsSpecifications
Format
16kHz,16 bit, wav,mono channel
Content category
Scripted dialogue,or speakers take turns to read article(s)
Recording condition
indoor
Language
Gujarati
Features of annotation
transcription text, speaker identification, gender, noise
Accuracy
Word Accuracy Rate (WAR) at least 95%
Sample Sample
  • Audio

    નમસ્તે ગીતાબેન, કેમ છો?

  • Audio

    નમસ્તે રમેશભાઈ, મજામાં છું. તમે કેમ છો?

  • Audio

    હું પણ મજામાં. આજે વાતાવરણ કેટલું સરસ છે, નહીં?

  • Audio

    હા, ખરેખર! સવારથી જ થોડી ઠંડક લાગે છે.

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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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