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Home > All Category Datasets > Speech Recognition Datasets > 336 Hours Russian Speech Dataset with Natural Conversations for ASR Models

336 Hours Russian Speech Dataset with Natural Conversations for ASR Models

russian speech dataset
russian ASR dataset
russian conversational speech dataset
russian speech corpus
native russian speech data
speech recognition training data

This dataset contains 336 hours of Russian spontaneous conversational speech collected from 460 native Russian speakers through topic-based conversations across more than 20 domains. The dataset includes accurate transcriptions, speaker IDs, gender, age information, and other metadata attributes. 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
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
460 native speakers in total, 46% male and 54% female;
Country
Russia(RUS);
Language(Region) Code
ru-RU;
Language
Russian;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise, PII redacted.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    А кухня какая твоя самая любимая?

  • Audio

    Мы можем поговорить про блюда.

  • Audio

    Или какие блюда больше чем остальные?

  • Audio

    Любую кухню люблю.

  • Audio

    Ну опять же из самых любимых.

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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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