--- title: "Korean Speech Recognition Dataset" description: "This Korean speech dataset provides over 10 hours of telephone-based dialogues recorded by native Korean speakers, offering clean audio data for speech recognition, NLP training,…" url: "https://unidata.pro/datasets/korean-speech-recognition/" date_modified: "2025-12-10T17:01:07+03:00" language: "en-US" --- This Korean speech dataset provides over 10 hours of telephone-based dialogues recorded by native Korean speakers, offering clean audio data for speech recognition, NLP training, and conversational AI. This Korean audio dataset includes annotated files, consistent recording conditions, and varied dialogue samples, making it a reliable speech corpus for model training and real-world speech detection tasks. ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 10+ — **Text:** Hours - **Number:** 20+ — **Text:** Speakers ### Tooltips Section **Tooltip items:** - **Name:** NLP - **Name:** LLM - **Name:** Machine Learning - **Name:** Audio Processing - **Name:** ASR - **Name:** Voice Recognition ### Dataset Information **Table with data:** | Characteristic | Data | | --- | --- | | Description | Audio of telephone dialogues in Korean for training NLP models in real-world conversational scenarios. | | Data types | Audio | | Tasks | Speech recognition, NLP | | Country | Korea (KOR) | | Hours of telephone dialogue | 10+ | | Number of speakers | 20+ | | Labeling | Annotation (ID, Language, Format, Minutes) | | Recording device | Telephone | **Media Slider:** - **Video on Slayder:** - **Video on Slayder:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1qV803a__UKMzZ--UbRhidaMso63VFjIc) ### Technical Specifications **Table with data:** | Characteristic | Data | | --- | --- | | Audio Format | M4A, MP3 | | Recording condition | Low background noise | | Duration | Mean = 7 min | **Source and data collection methodology:** Source and collection methodology Data was collected via crowdsourcing platforms. ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Telecommunications & Customer Service — **Title:** Enhancing Korean Dialogue Systems — **Text:** This Korean Speech Dataset supports the development of customer service bots that understand natural conversational cues in the Korean language. Because the dataset contains real telephone dialogues recorded by native Korean speakers, it helps improve automatic speech recognition, speech detection, and intent classification. Brands can use this audio data to refine response models and handle diverse real-world inquiries. - **Industry:** AI Assistants & Conversational Interfaces — **Title:** Training Voice-Driven Korean Applications — **Text:** The dataset provides phone-based audio data featuring structured and unstructured exchanges, allowing engineers to build voice assistants that handle fluent Korean dialogue. With clear recorded texts and metadata-rich corpus content, it helps models distinguish speakers, manage interruptions, and interpret spontaneous speech. This strengthens conversational agents used in mobile apps, smart devices, and enterprise tools. - **Industry:** Speech Technology Research — **Title:** Evaluating Korean Speech Recognition Models — **Text:** Researchers use this Korean audio dataset to benchmark speech recognition performance under realistic acoustic conditions. The dataset consists of telephone-quality recordings from native speakers, supporting studies in emotion recognition, automatic speech processing, and acoustic modeling. It offers consistent training data for testing algorithms and improving the robustness of recognition systems. - **Industry:** Language Learning & EdTech — **Title:** Improving Korean Listening Models — **Text:** Educational platforms rely on speech datasets like this one to train tools that assess pronunciation, interpret learner responses, and provide automated feedback. Because the dataset contains natural Korean dialogue and varied speech patterns, it supports the creation of listening-practice engines and adaptive tutoring systems. It also strengthens models designed to evaluate fluency in real-world scenarios. ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** Can I request a sample of the dataset before buying? — **Answer:** Yes, Unidata provides free samples so you can evaluate audio quality, annotation formats, and speaker variation. These samples help confirm whether the speech corpus meets your requirements for model training or benchmarking. - **Question:** Where does the data in Unidata datasets come from? — **Answer:** Unidata sources data ethically from verified contributors, licensed providers, and controlled collection environments. For this Korean language dataset, all telephone dialogues were collected via trusted crowdsourcing platforms following strict quality guidelines. - **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model: free samples are available for testing, while full datasets require a paid license. This approach lets organizations evaluate compatibility before purchasing the complete Korean conversation dataset. - **Question:** Do Unidata datasets comply with GDPR and data privacy regulations? — **Answer:** Yes. All datasets are curated under GDPR and other applicable data protection laws, ensuring that audio data from Korean speakers is collected and processed ethically and legally. - **Question:** How are Unidata datasets stored? — **Answer:** Unidata stores all datasets on secure AWS cloud infrastructure, compliant with ISO 27001 and ISO 27701 standards. This ensures stable access, high availability, and safe handling of speech data across large corpora. - **Question:** How long does it take to receive the dataset? — **Answer:** After you submit a request, Unidata contacts you to verify requirements and finalize documentation. Once payment and agreements are complete, the dataset is delivered within 3–10 days. - **Question:** Is the Korean audio data unique? — **Answer:** Yes, the telephone dialogues in this dataset are unique recordings created specifically for speech model development. They are not sourced from public speech corpora, making them valuable for training models on fresh, previously unseen speech patterns. - **Question:** How does native Korean speech data help create more reliable voice AI systems? — **Answer:** Native speaker recordings provide authentic examples of Korean pronunciation, vocabulary, and communication styles. This improves the ability of AI systems to recognize spoken Korean and deliver more natural interactions across different applications. [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)