상세정보
학술대회
Metric Optimization for Sound Event Localization and Detection
- 발행일
- 202011
- 출처
- International Conference on Consumer Electronics (ICCE) 2020 : Asia, pp.422-425
- 협약과제
- 20HS1300, 신체기능의 이상이나 저하를 극복하기 위한 휴먼 청각 및 근력 증강 원천 기술 개발, 신형철
- 초록
- Due to DNN-based approach, sound event localization and detection is now possible with a simple microphone array. However, this DNN-based sound event localization and detection has problem with dataset imbalance, pooling size decision, and periodicity of angles. In this paper, we propose three methods: soft f-loss with temporal masking, periodic loss, and PoolNet-based architecture to handle three issues. We evaluate our approach on TAU-NIGENS Spatial Sound Events 2020 dataset. The experimental results show our approach shows performance improvement in sound event localization and detection metrics compared to the baseline system.
- KSP 제안 키워드
- Based Approach, Baseline system, Event localization, Metric optimization, Spatial Sound, Temporal masking, microphone Array, performance improvement, sound events