Korean Speech Recognition Dataset
Korean Speech Recognition 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.
-
- Hours
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Korean Speech Recognition 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.
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 10+
-
- Speakers
- 20+
Dataset Info
| 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 |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | M4A, MP3 |
| Recording condition | Low background noise |
| Duration | Mean = 7 min |
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