Korean Conversational Speech Data by Mobile Phone | 290 Hours | Multilingual Language Data
Overview
Korean Conversational Speech Data by Mobile Phone | 290 Hours | Multilingual Language Data is an audio dataset. It covers Korean. The provider states a volume of 290 hours. Typical applications include speech recognition and conversational AI. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription and timestamps. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 290 hours.
- Listing mentions transcription, timestamps.
Korean(Korea) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(442 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. 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. 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%
Related datasets
More in Speech & Audio →Korean Conversational Speech Data by Telephone | 136 Hours | Multilingual Language Data
Korean(Korea) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains.
- Language
- Korean
- Volume
- 136 h
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition