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Home > All Category Datasets > Speech Recognition Datasets > 389 Hours Turkish Conversational Speech Dataset for ASR and AI Training

389 Hours Turkish Conversational Speech Dataset for ASR and AI Training

turkish asr dataset
turkish speech dataset
turkish audio dataset
turkish speech recognition dataset

This dataset contains 389 hours of Turkish spontaneous dialogue speech collected from topic-based conversations. Each audio sample includes accurate transcripts, timestamps, speaker IDs, gender information, and additional metadata. The dataset was collected from approximately 400 native Turkish speakers with diverse geographic and demographic backgrounds, 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
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
Republic of Türkiye(TUR)
Language(Region) Code
tr-TR
Language
Turkish
Speaker
410 native speakers in total, 51% male and 49% female
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 97%
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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