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397 Speakers Hindi Speech Dataset (Scripted Monologue, Smartphone Recordings)

hindi dialogue speech dataset
hindi audio dataset
hindi phone call speech dataset
hindi conversational speech dataset
hindi speech corpus
hindi asr dataset
hindi telephony speech dataset
hindi tts dataset

This dataset collected from monologue based on given prompts, covering smart car, smart home, voice assistant domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(397 Indians), 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, 16bit, uncompressed wav, mono channel;
Content category
Smart car; smart home; voice assistant;
Recording condition
Mixed(373 people recorded in quiet indoor environment, without echo; and 24 recorded in normal environment, with noise that does not affect voice recognition);
Recording device
Android smartphone; iPhone;
Speaker
397 Indians, 61% male and 39% female;
Country
India(IND);
Language(Region) Code
hi-IN;
Language
Hindi;
Features of annotation
Transcription text, timestamp, 4 noise symbols, 5 special identifiers;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)
Sample Sample
  • Audio

    आज दिन में गर्मी कितनी होगी

  • Audio

    सुखाना बंद करें

  • Audio

    क्या ट्राफिक शाम से हैं?

  • Audio

    कृपया रेड ~एफएम बजायें

  • Audio

    शकीरा के गाने बजाएँ

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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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