ELEC-E5510 - Speech Recognition D, Lecture, 25.10.2023-8.12.2023
This course space end date is set to 08.12.2023 Search Courses: ELEC-E5510
Reading materials
Completion requirements
Collection of reading materials by topic.
2. Material on project topics
2.2. Audio event tagging
- Gemmeke, J. F., Ellis, D. P., Freedman, D., Jansen, A., Lawrence, W., Moore, R. C., ... & Ritter, M. (2017). Audio set: An ontology and human-labeled dataset for audio events. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 776-780). IEEE.
- Dang, A., Vu, T. H., & Wang, J. C. (2017). A survey of deep learning for polyphonic sound event detection. In 2017 International Conference on Orange Technologies (ICOT) (pp. 75-78). IEEE.
- Babaee, E., Anuar, N. B., Abdul Wahab, A. W., Shamshirband, S., & Chronopoulos, A. T. (2017). An overview of audio event detection methods from feature extraction to classification. Applied Artificial Intelligence, 31(9-10), 661-714.
- Guo, G., & Li, S. Z. (2003). Content-based audio classification and retrieval by support vector machines. IEEE transactions on Neural Networks, 14(1), 209-215.
- Ma, L., Milner, B., & Smith, D. (2006). Acoustic environment classification. ACM Transactions on Speech and Language Processing (TSLP), 3(2), 1-22.
- Wolfram tutorial - Audio Analysis with Neural Networks