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Home > All Category Datasets > Speech Recognition Datasets > 535 Hours Kazakh Speech Dataset for ASR and Speech Recognition AI Training

535 Hours Kazakh Speech Dataset for ASR and Speech Recognition AI Training

kazakh speech dataset
kazakh asr dataset
kazakh speech recognition dataset
kazakh voice dataset
low resource speech dataset

This dataset comprises 535 hours of authentic Kazakh speech, featuring recordings of natural conversations and monologues that reflect diverse spoken-language scenarios. Each audio sample is accompanied by an accurate transcript, speaker ID, gender information, and other metadata. Recorded by ethnic Kazakhs from diverse geographic and cultural backgrounds, it offers high accuracy and ease of use, providing a rich resource for speech recognition research and applications while enabling models to perform effectively amidst real-world diversity.. 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;
Recording environment
Low background noise;
Country
China(CHN);
Language(Region) Code
kk-CN;
Language
Kazakh;
Features of annotation
Transcription text, timestamp, speaker ID, gender.
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
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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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