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Home > All Category Datasets > Speech Recognition Datasets > 290 Hours Korean Conversational Speech Dataset for Voice AI Training

290 Hours Korean Conversational Speech Dataset for Voice AI Training

korean speech corpus

korean ASR dataset

korean speech dataset

korean speech recognition dataset

korean audio dataset

This dataset contains 290 hours of spontaneous Korean speech collected through natural conversations based on predefined topics across more than 20 domains. The dataset was collected from 442 native Korean speakers and 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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

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

442 native speakers in total, 43% male and 57% female;

Country

Korea(KOR);

Language(Region) Code

ko-KR;

Language

Korean;

Features of annotation

Transcription text, timestamp, speaker ID, gender, PII redacted.

Accuracy Rate

Sentence Accuracy Rate (SAR) 95%

Sample

Sample

Audio
어 맞아요 전여빈 배우도 너무 좋고 천우희 정말 좋아해요
Audio
그친구 이름이 되게 흔했는데
Audio
예를들면 강하늘 강하늘 배우도 되게 좋아하는데
Audio
그분이 되게 제가 좋아하는 작품이랑 안좋아하는 작품을 되게 거의 번갈아가면서 많이 하셨어요.
Audio
무거운 연기도하고 현실연기도 하고 되게 다 잘하시고 소화를 일단 너무 잘 하시는것 같아요.

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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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