Y. Wan, Y. Chen, K. Y. H. Sim, L. Wu, X. Geng, and K. Chau, “Precise Temporal Localization of Sudden Onsets in Audio Signals Using the Wavelet Approach,” in Proc. AES Convention 147, Oct. 2019, Paper 10280. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20653
Wan Y, Chen Y, Sim KYH, Wu L, Geng X, Chau K. Precise Temporal Localization of Sudden Onsets in Audio Signals Using the Wavelet Approach. In: AES Convention 147. Audio Engineering Society; 2019. Paper 10280. Available from: https://aes.org/publications/elibrary-page/?id=20653
@inproceedings{Wan2019_20653,
author = {Wan, Yuxuan and Chen, Yijia and Sim, Keegan Yi Hang and Wu, Lijia and Geng, Xianzheng and Chau, Kevin},
title = {{Precise Temporal Localization of Sudden Onsets in Audio Signals Using the Wavelet Approach}},
booktitle = {AES Convention 147},
note = {Paper 10280},
year = {2019},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20653}
}
TY - CPAPER
TI - Precise Temporal Localization of Sudden Onsets in Audio Signals Using the Wavelet Approach
AU - Wan, Yuxuan
AU - Chen, Yijia
AU - Sim, Keegan Yi Hang
AU - Wu, Lijia
AU - Geng, Xianzheng
AU - Chau, Kevin
T2 - AES Convention 147
M1 - Paper 10280
PY - 2019
DA - 2019/10/06
UR - https://aes.org/publications/elibrary-page/?id=20653
PB - Audio Engineering Society
LA - en
AB - Presently reported is a wavelet-based method for the temporal localization of sudden onsets in audio signals with sub-millisecond precision. The method only requires O(n) operations, which is highly efficient. The entire audio signal can be processed as a whole without the need to be broken down into individual windowed overlapping blocks. It can also be processed in a streaming mode compatible with real-time processing. In comparison with time-domain and frequency-domain methods, the wavelet-based method proposed here offers several distinct advantages in sudden onset detection, temporal localization accuracy, and computational cost, which may therefore find broad applications in audio signal processing and music information retrieval.
ER -