b'Wenwu Wang'

research

∙ 02/20/2023

Differentiable Bootstrap Particle Filters for Regime-Switching Models

Differentiable particle filters are an emerging class of particle filter...

0 Wenhan Li, et al. ∙

research

∙ 12/23/2022

Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN

Deep learning-based methods have achieved significant performance for im...

0 Yaozong Mo, et al. ∙

research

∙ 12/05/2022

Towards Generating Diverse Audio Captions via Adversarial Training

Automated audio captioning is a cross-modal translation task for describ...

0 Xinhao Mei, et al. ∙

research

∙ 11/23/2022

ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation

Vision transformers, which were originally developed for natural languag...

0 Sara Atito, et al. ∙

research

∙ 11/22/2022

Ontology-aware Learning and Evaluation for Audio Tagging

This study defines a new evaluation metric for audio tagging tasks to ov...

0 Haohe Liu, et al. ∙

research

∙ 10/28/2022

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention

Audio captioning is the task of generating captions that describe the co...

0 Xubo Liu, et al. ∙

research

∙ 10/27/2022

Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification

Most existing deep learning-based acoustic scene classification (ASC) ap...

0 Yuanbo Hou, et al. ∙

research

∙ 10/22/2022

GCT: Gated Contextual Transformer for Sequential Audio Tagging

Audio tagging aims to assign predefined tags to audio clips to indicate ...

0 Yuanbo Hou, et al. ∙

research

∙ 10/10/2022

Automated Audio Captioning via Fusion of Low- and High- Dimensional Features

Automated audio captioning (AAC) aims to describe the content of an audi...

0 Jianyuan Sun, et al. ∙

research

∙ 10/04/2022

Learning the Spectrogram Temporal Resolution for Audio Classification

The audio spectrogram is a time-frequency representation that has been w...

16 Haohe Liu, et al. ∙

research

∙ 10/03/2022

Simple Pooling Front-ends For Efficient Audio Classification

Recently, there has been increasing interest in building efficient audio...

19 Xubo Liu, et al. ∙

research

∙ 07/21/2022

Surrey System for DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection with Segment-level Metric Learning

Few-shot audio event detection is a task that detects the occurrence tim...

0 Haohe Liu, et al. ∙

research

∙ 07/15/2022

Segment-level Metric Learning for Few-shot Bioacoustic Event Detection

Few-shot bioacoustic event detection is a task that detects the occurren...

10 Haohe Liu, et al. ∙

research

∙ 07/15/2022

Continual Learning For On-Device Environmental Sound Classification

Continuously learning new classes without catastrophic forgetting is a c...

6 Yang Xiao, et al. ∙

research

∙ 05/12/2022

Automated Audio Captioning: an Overview of Recent Progress and New Challenges

Automated audio captioning is a cross-modal translation task that aims t...

28 Xinhao Mei, et al. ∙

research

∙ 04/05/2022

RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection

Target sound detection (TSD) aims to detect the target sound from a mixt...

0 Dongchao Yang, et al. ∙

research

∙ 04/05/2022

A Two-student Learning Framework for Mixed Supervised Target Sound Detection

Target sound detection (TSD) aims to detect the target sound from mixtur...

0 Dongchao Yang, et al. ∙

research

∙ 03/29/2022

On Metric Learning for Audio-Text Cross-Modal Retrieval

Audio-text retrieval aims at retrieving a target audio clip or caption f...

0 Xinhao Mei, et al. ∙

research

∙ 03/28/2022

Separate What You Describe: Language-Queried Audio Source Separation

In this paper, we introduce the task of language-queried audio source se...

4 Xubo Liu, et al. ∙

research

∙ 03/07/2022

Deep Neural Decision Forest for Acoustic Scene Classification

Acoustic scene classification (ASC) aims to classify an audio clip based...

7 Jianyuan Sun, et al. ∙

research

∙ 03/06/2022

Leveraging Pre-trained BERT for Audio Captioning

Audio captioning aims at using natural language to describe the content ...

13 Xubo Liu, et al. ∙

research

∙ 01/14/2022

Anomalous Sound Detection using Spectral-Temporal Information Fusion

Unsupervised anomalous sound detection aims to detect unknown abnormal s...

0 Youde Liu, et al. ∙

research

∙ 01/10/2022

Local Information Assisted Attention-free Decoder for Audio Captioning

Automated audio captioning (AAC) aims to describe audio data with captio...

0 Feiyang Xiao, et al. ∙

research

∙ 10/13/2021

Diverse Audio Captioning via Adversarial Training

Audio captioning aims at generating natural language descriptions for au...

0 Xinhao Mei, et al. ∙

research

∙ 10/13/2021

End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network

In a recent study of auditory evoked potential (AEP) based brain-compute...

0 Yina Guo, et al. ∙

research

∙ 10/13/2021

One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal

Single channel blind source separation (SCBSS) refers to separate multip...

0 Ting Liu, et al. ∙

research

∙ 10/09/2021

A Mutual learning framework for Few-shot Sound Event Detection

Although prototypical network (ProtoNet) has proved to be an effective m...

0 Dongchao Yang, et al. ∙

research

∙ 09/19/2021

ARCA23K: An audio dataset for investigating open-set label noise

The availability of audio data on sound sharing platforms such as Freeso...

0 Turab Iqbal, et al. ∙

research

∙ 08/05/2021

An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning

Automated audio captioning aims to use natural language to describe the ...

0 Xinhao Mei, et al. ∙

research

∙ 07/21/2021

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

Deep generative models have recently achieved impressive performance in ...

0 Xubo Liu, et al. ∙

research

∙ 07/21/2021

CL4AC: A Contrastive Loss for Audio Captioning

Automated Audio captioning (AAC) is a cross-modal translation task that ...

0 Xubo Liu, et al. ∙

research

∙ 07/21/2021

Audio Captioning Transformer

Audio captioning aims to automatically generate a natural language descr...

0 Xinhao Mei, et al. ∙

research

∙ 04/02/2021

An Audio-Based Deep Learning Framework ForBBC Television Programme Classification

This paper proposes a deep learning framework for classification of BBC ...

0 Lam Pham, et al. ∙

research

∙ 03/31/2021

SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification

In this paper, we present SpecAugment++, a novel data augmentation metho...

0 Helin Wang, et al. ∙

research

∙ 03/30/2021

Time-domain Speech Enhancement with Generative Adversarial Learning

Speech enhancement aims to obtain speech signals with high intelligibili...

0 Feiyang Xiao, et al. ∙

research

∙ 02/09/2021

Enhancing Audio Augmentation Methods with Consistency Learning

Data augmentation is an inexpensive way to increase training data divers...

0 Turab Iqbal, et al. ∙

research

∙ 02/03/2021

A Global-local Attention Framework for Weakly Labelled Audio Tagging

Weakly labelled audio tagging aims to predict the classes of sound event...

0 Helin Wang, et al. ∙

research

∙ 10/25/2020

An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

Polyphonic sound event localization and detection (SELD), which jointly ...

0 Yin Cao, et al. ∙

research

∙ 09/30/2020

Event-Independent Network for Polyphonic Sound Event Localization and Detection

Polyphonic sound event localization and detection is not only detecting ...

0 Yin Cao, et al. ∙

research

∙ 08/03/2020

Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation

Monaural Singing Voice Separation (MSVS) is a challenging task and has b...

0 Weitao Yuan, et al. ∙

research

∙ 02/11/2020

Learning with Out-of-Distribution Data for Audio Classification

In supervised machine learning, the assumption that training data is lab...

0 Turab Iqbal, et al. ∙

research

∙ 02/06/2020

Source separation with weakly labelled data: An approach to computational auditory scene analysis

Source separation is the task to separate an audio recording into indivi...

1 Qiuqiang Kong, et al. ∙

research

∙ 12/21/2019

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

Audio pattern recognition is an important research topic in the machine ...

0 Qiuqiang Kong, et al. ∙

research

∙ 12/14/2019

Learning discriminative and robust time-frequency representations for environmental sound classification

Convolutional neural networks (CNN) are one of the best-performing neura...

0 Helin Wang, et al. ∙

research

∙ 12/10/2019

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

Sound event detection (SED) is a task to detect sound events in an audio...

0 Qiuqiang Kong, et al. ∙

research

∙ 10/04/2019

Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation

Typical methods for binaural source separation consider only the direct ...

0 Luca Remaggi, et al. ∙

research

∙ 06/14/2019

Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks

Single-channel signal separation and deconvolution aims to separate and ...

6 Qiuqiang Kong, et al. ∙

research

∙ 05/01/2019

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

Sound event detection (SED) and localization refer to recognizing sound ...

0 Yin Cao, et al. ∙

research

∙ 04/11/2019

Cross-task learning for audio tagging, sound event detection spatial localization: DCASE 2019 baseline systems

The Detection and Classification of Acoustic Scenes and Events (DCASE) 2...

0 Qiuqiang Kong, et al. ∙

research

∙ 04/06/2019

Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems

The Detection and Classification of Acoustic Scenes and Events (DCASE) 2...

0 Qiuqiang Kong, et al. ∙

Wenwu Wang

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