Shiqi Zhang
@s-zhang.bsky.social
♪o(＾＾)o♪
Acoustic Signal Processing | Active Learning
Doctoral Student @ Audio Research Group, Tampere University (2024-now)
Master @ Makino Lab, Waseda University (2021-2023)
Intern @ NTT Communication Science Lab (2022-2023)
Acoustic Signal Processing | Active Learning
Doctoral Student @ Audio Research Group, Tampere University (2024-now)
Master @ Makino Lab, Waseda University (2021-2023)
Intern @ NTT Communication Science Lab (2022-2023)
Reposted by Shiqi Zhang
New! "Bacpipe: a tool to compare bioacoustic machine learning methods" https://bioacousticai.eu/bacpipe-a-tool-to-compare-bioacoustic-machine-learning-methods/ A new way to visualise how deep learning is analysing animal sounds, by Vincent Kather. #bioacoustics
Bacpipe: a tool to compare bioacoustic machine learning methods
bioacousticai.eu
June 19, 2025 at 7:39 AM
New! "Bacpipe: a tool to compare bioacoustic machine learning methods" https://bioacousticai.eu/bacpipe-a-tool-to-compare-bioacoustic-machine-learning-methods/ A new way to visualise how deep learning is analysing animal sounds, by Vincent Kather. #bioacoustics
Reposted by Shiqi Zhang
June 10, 2025 at 12:50 PM
Reposted by Shiqi Zhang
MFFT, an active learning method, improved BioSED performance; achieved a mAP of 68% using a refined BioSED dataset.
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
Shiqi Zhang, Tuomas Virtanen
arxiv.org
May 28, 2025 at 9:40 AM
MFFT, an active learning method, improved BioSED performance; achieved a mAP of 68% using a refined BioSED dataset.