86 citations · 161 across the 6 of their papers we have counts for
6 papers
Audio Inputs for Active Speaker Detection and Localization via Microphone Array
Davide Berghi, Philip J. B. Jackson
This study considers the problem of detecting and locating an active talker's horizontal position from multichannel audio captured by a microphone array. We refer to this as active…
Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation
Luca Remaggi, Philip J. B. Jackson, Wenwu Wang
Typical methods for binaural source separation consider only the direct sound as the target signal in a mixture. However, in most scenarios, this assumption limits the source separ…
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Qiuqiang Kong, Yong Xu, Wenwu Wang +2
Single-channel signal separation and deconvolution aims to separate and deconvolve individual sources from a single-channel mixture and is a challenging problem in which no prior k…
Acoustic Reflector Localization: Novel Image Source Reversion and Direct Localization Methods
Luca Remaggi, Philip J. B. Jackson, Philip Coleman +1
Acoustic reflector localization is an important issue in audio signal processing, with direct applications in spatial audio, scene reconstruction, and source separation. Several me…
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Yong Xu, Qiang Huang, Wenwu Wang +4
Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio t…
Fully DNN-based Multi-label regression for audio tagging
Yong Xu, Qiang Huang, Wenwu Wang +2
Acoustic event detection for content analysis in most cases relies on lots of labeled data. However, manually annotating data is a time-consuming task, which thus makes few annotat…