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20112023
most citedWavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

138 citations · 1.4k across the 89 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.SD2019★ 73 cited

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Qiuqiang Kong, Yin Cao, Turab Iqbal +3

Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classi…

cs.SD2019★ 8 cited

Environmental Sound Classification with Parallel Temporal-spectral Attention

Helin Wang, Yuexian Zou, Dading Chong +1

Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC). Recently, temporal attention mechanism…

cs.SD2019★ 5 cited

Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization

Qiuqiang Kong, Yong Xu, Wenwu Wang +1

Sound event detection (SED) is a task to detect sound events in an audio recording. One challenge of the SED task is that many datasets such as the Detection and Classification of…

cs.SD2019★ 9 cited

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…

eess.AS2019★ 7 cited

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…

cs.SD2019★ 118 cited

Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy

Yin Cao, Qiuqiang Kong, Turab Iqbal +3

Sound event detection (SED) and localization refer to recognizing sound events and estimating their spatial and temporal locations. Using neural networks has become the prevailing…