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Conference Paper
SED 기술 개발을 위한 음향 데이터베이스 설계 및 구축
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- Issue Date
- 2018-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2018, pp.555-558
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- As interest in SED(Sound Events Detection) research has increased, the need has arisen for the acoustic data including sound events related to ambient risk situation. In this paper, we built the acoustic database consisting of total 7,026 sound events for binaural and stereo signal, respectively. Based on the data size per an event class, the constructed database is about six times larger than that of DCASE 2016 Challenge’s SED.
- KSP Keywords
- Acoustic data, Data size, Events detection, event class, sound events