25 citations · 52 across the 13 of their papers we have counts for
13 papers
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
Yuanbo Hou, Qiaoqiao Ren, Huizhong Zhang +4
Soundscape studies typically attempt to capture the perception and understanding of sonic environments by surveying users. However, for long-term monitoring or assessing interventi…
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
Pengfei Sun, Jibin Wu, Malu Zhang +2
Recurrent Neural Networks (RNNs) are widely recognized for their proficiency in modeling temporal dependencies, making them highly prevalent in sequential data processing applicati…
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Yuanbo Hou, Siyang Song, Cheng Luo +6
Sound events in daily life carry rich information about the objective world. The composition of these sounds affects the mood of people in a soundscape. Most previous approaches on…
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition
Pengfei Sun, Ehsan Eqlimi, Yansong Chua +2
Spiking neural networks (SNN) are a promising research avenue for building accurate and efficient automatic speech recognition systems. Recent advances in audio-to-spike encoding a…
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification
Yuanbo Hou, Siyang Song, Chuang Yu +3
Most existing deep learning-based acoustic scene classification (ASC) approaches directly utilize representations extracted from spectrograms to identify target scenes. However, th…
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou, Yun Wang, Wenwu Wang +1
Audio tagging aims to assign predefined tags to audio clips to indicate the class information of audio events. Sequential audio tagging (SAT) means detecting both the class informa…
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Yuanbo Hou, Bo Kang, Dick Botteldooren
Previous works on scene classification are mainly based on audio or visual signals, while humans perceive the environmental scenes through multiple senses. Recent studies on audio-…
Event-related data conditioning for acoustic event classification
Yuanbo Hou, Dick Botteldooren
Models based on diverse attention mechanisms have recently shined in tasks related to acoustic event classification (AEC). Among them, self-attention is often used in audio-only ta…
Relation-guided acoustic scene classification aided with event embeddings
Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren +1
In real life, acoustic scenes and audio events are naturally correlated. Humans instinctively rely on fine-grained audio events as well as the overall sound characteristics to dist…
Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
Pengfei Sun, Longwei Zhu, Dick Botteldooren
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neuron by spikes, which provides a computing paradigm with the promise of simulatin…
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou, Zhaoyi Liu, Bo Kang +2
Sequential audio event tagging can provide not only the type information of audio events, but also the order information between events and the number of events that occur in an au…
Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams
Yuanbo Hou, Zhesong Yu, Xia Liang +4
Many previous audio-visual voice-related works focus on speech, ignoring the singing voice in the growing number of musical video streams on the Internet. For processing diverse mu…
Rule-embedded network for audio-visual voice activity detection in live musical video streams
Yuanbo Hou, Yi Deng, Bilei Zhu +2
Detecting anchor's voice in live musical streams is an important preprocessing for music and speech signal processing. Existing approaches to voice activity detection (VAD) primari…