Human–machine collaboration based sound event detection

Author:

Ge ShengtongORCID,Yu Zhiwen,Yang Fan,Liu Jiaqi,Wang Liang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction

Reference19 articles.

1. Annamaria, M., Toni, H., Tuomas, V.: Metrics for polyphonic sound event detection. Appl. Sci. J. 6(6), 162 (2016)

2. Bongjun, K., Bryan, P.: A Human-in-the-loop system for sound event detection and annotation. ACM Trans. Interact. Intell. Syst. J. 8(2), 1–13 (2018)

3. Bongjun K, Shabnam G.: Self-supervised attention model for weakly labeled audio event classification. In: EUSIPCO, pp. 1–5 (2019)

4. Cakir, E., Parascandolo, G., Heittola, T.: Convolutional recurrent neural networks for polyphonic sound event detection. IEEE/ACM Trans. Audio Speech Lang. Process. J. 25(6), 129l–1303 (2017)

5. Gencoglu O, Virtanen H.: Recognition of acoustic events using deep neural networks. In: European Signal Processing Conference, pp. 5–10 (2014)

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