25 citations · 89 across the 24 of their papers we have counts for
10 papers · 1 filter
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…
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…
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering
Yuanbo Hou, Qiuqiang Kong, Shengchen Li +1
Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed. In SL…
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
Yuanbo Hou, Qiuqiang Kong, Jun Wang +1
Audio tagging aims to detect the types of sound events occurring in an audio recording. To tag the polyphonic audio recordings, we propose to use Connectionist Temporal Classificat…
Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data
Yuanbo Hou, Qiuqiang Kong, Shengchen Li
Audio tagging aims to predict one or several labels in an audio clip. Many previous works use weakly labelled data (WLD) for audio tagging, where only presence or absence of sound…