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Home > All Category Datasets > Speech Recognition Datasets > 300 Hours Indian English Speech Dataset for ASR and Conversational AI

300 Hours Indian English Speech Dataset for ASR and Conversational AI

english speech dataset
indian english speech dataset
spoken dialogue dataset
speech recognition dataset
english audio dataset
conversational speech dataset
english india accent dataset
indian accent dataset

This dataset provides 300 hours of Indian English conversational speech collected via smartphones from 390 native speakers. Dialogues based on given topics. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(390 native 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
16 kHz, 16 bit, uncompressed wav, mono channel;
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
India(IN)
Language(Region) Code
en-IN
Language
English
Speaker
390 native speakers in total
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word Correct rate(WCR) 98%
Sample Sample
  • Audio

    Yeah okay Akshay I haven't heard good things about that, primer I usually use the[N]

  • Audio

    I use the Too Faced Hangover Replenishing Face Primer.[N]

  • Audio

    hydrating primer since my skin's been a bit dry lately.[N]

  • Audio

    Oh Akshay, I have been having the same issue with dry skin which premier did you use.[N]

  • Audio

    It's really hydrating and it gives my skin a nice glow without feeling greasy.[N]

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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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