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.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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+# Image files - uncompressed
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+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
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+# Video files - compressed
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Korean Speech Recognition Dataset.csv

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+ID,Language,Format,Minutes
+5,Korean,M4A,0:39:00
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README.md

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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- automatic-speech-recognition
+- audio-to-audio
+- audio-classification
+tags:
+- automatic speech recognition
+- Korean
+- NLP
+- speech detection
+size_categories:
+- n<1K
+---
+# Korean Speech Dataset
+Dataset comprises **10+** hours of audio recordings from **20+** speakers, featuring telephone-quality speech data from native korean speakers. It provides a diverse collection of spoken language for **automatic speech recognition** tasks and serves as essential training data for model training in **NLP** and **speech detection research**.
+
+By utilizing this dataset, researchers and developers can advance their understanding and capabilities in **automatic speech recognition** (ASR) systems, **transcribing audio**, and **natural language processing** (NLP).  - **[Get the data](https://unidata.pro/datasets/korean-speech-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=korean-speech-recognition)**
+
+The recordings feature speakers reading a variety of sentences and scripts, providing a comprehensive speech corpus for transcribing and recognition tasks.
+
+# Frequently Asked Questions
+
+## How can the annotation metadata support dataset management?
+
+Each recording includes structured annotations such as language, recording ID, audio format, and conversation duration. These metadata fields simplify dataset organization, filtering, and experiment design.
+
+## What advantages do longer conversation recordings provide?
+
+With an average recording duration of approximately seven minutes, the dataset enables models to learn from sustained conversations instead of isolated utterances. Longer recordings expose ASR and NLP systems to changing speaking rates, pauses, interruptions, topic transitions, and natural dialogue flow.
+
+## Who can benefit from this Korean speech dataset?
+
+This is useful for AI researchers, speech technology companies, conversational AI developers, academic institutions, and NLP teams working with Korean-language applications. It supports projects involving automatic speech recognition, dialogue understanding, speech analytics, voice assistants, and call-center automation."
+
+## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/korean-speech-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=korean-speech-recognition) to discuss your requirements and pricing options.
+
+Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to improve automatic speech processing and emotion recognition capabilities for the korean language.
+
+## 🌐 [UniData](https://unidata.pro/datasets/korean-speech-recognition/?utm_source=huggingface&utm_medium=referral&utm_campaign=korean-speech-recognition) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects