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Home > All Category Datasets > Speech Recognition Datasets > 200 Hours Korean Full-Duplex Multi-Channel Speech Dataset

200 Hours Korean Full-Duplex Multi-Channel Speech Dataset

Korean speech dataset
spontaneous dialogue Korean
multi-stream audio dataset
conversational Korean speech
smartphone-recorded audio
dual-speaker dataset
real-world Korean conversation
full-duplex speech dataset

This 200 Hours Korean Full-Duplex Multi-Channel Speech Dataset features multi-stream audio recorded via smartphones, simulating natural conversations across a range of everyday topics. Each dialogue is annotated with transcripts, speaker ID, gender, and age. Collected from diverse speakers across various regions in Korea, the dataset enhances AI model robustness in real-world applications. Ideal for training automatic speech recognition (ASR), conversational AI, multilingual dialogue systems, and natural speech processing models. All data complies with GDPR, CCPA, and PIPL privacy standards, ensuring safe and ethical AI training.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Recorders in free conversation without a set topic;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
About 200 people;
Country
Korea;
Language
Korean;
Features of annotation
Transcription text, timestamp, speaker ID, gender.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    오케이 오케이.

  • Audio

    여행 여행 요즘 뭐 여행가고 싶은데 없어?

  • Audio

    어, 네, 저는 목소리가 엄청 작게 들리는데 원래 이런가?

  • Audio

    아, 그래요? 이건 어쩔 수 없나 봐요, 끊기진 않은데 저는.

  • Audio

    저번에 여행 갔다 오고 나서 이제

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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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