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93 Hours Russian Telephony Speech Dataset for ASR and Voice AI

russian telephony speech dataset
russian ASR dataset
russian speech dataset
russian conversational speech dataset
telephone speech dataset
speech recognition training data

This dataset contains 93 hours of Russian spontaneous dialogue speech collected through telephone conversations between native Russian speakers. The dataset covers more than 20 real-world domains and includes natural conversational interactions. Each audio sample is provided with accurate transcription and speaker metadata, including speaker ID, gender, age, and other 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
8kHz 8bit, a-law/u-law pcm, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Telephony
Country
Russia(RUS)
Language(Region) Code
ru-RU
Language
Russian
Speaker
126 people in total, 46% male and 54% female
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 98%
Sample Sample
  • Audio

    с этим понятно. Он действительно трэшовый такой чу- человечек.

  • Audio

    Нет, не знаю.

  • Audio

    Знаешь, вот, к примеру, недавно посмотрел такого знаменитого человека на Ютубе, а, Габар [S] называется. И у него игры Габара,

  • Audio

    плевать друг другу в рот. Вот как к таким людям относишься? Знаешь их?

  • Audio

    трэш, который выпускает трэш. То есть ведут такой немножко.

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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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