Spatial–Temporal Feature Network for Speech-Based Depression Recognition
Z Han, Y Shang, Z Shao, J Liu, G Guo… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
Depression is a serious mental disorder that has received increased attention from society.
Due to the advantage of easy acquisition of speech, researchers have tried to propose …
Due to the advantage of easy acquisition of speech, researchers have tried to propose …
Task-driven common subspace learning based semantic feature extraction for acoustic event recognition
Q Shi, S Deng, J Han - Expert Systems with Applications, 2023 - Elsevier
For acoustic event recognition (AER), it is important to extract the semantic feature that
considers both the content information and the temporal ordering. To this end, our previous …
considers both the content information and the temporal ordering. To this end, our previous …
[图书][B] Underwater Acoustic Target Recognition on ShipsEar Dataset: A Convolution-Free, Purely Attention-Based Approach With Audio Spectrogram Transformer
T Phi - 2023 - search.proquest.com
The task of classifying underwater audio source has various marine-oriented applications,
including maritime and environmental monitoring, detection of marine life, and underwater …
including maritime and environmental monitoring, detection of marine life, and underwater …