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09/18/2023
Synth-AC: Enhancing Audio Captioning with Synthetic Supervision
Data-driven approaches hold promise for audio captioning. However, the d...
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09/14/2023
Hierarchical Metadata Information Constrained Self-Supervised Learning for Anomalous Sound Detection Under Domain Shift
Self-supervised learning methods have achieved promising performance for...
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09/13/2023
AudioSR: Versatile Audio Super-resolution at Scale
Audio super-resolution is a fundamental task that predicts high-frequenc...
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09/10/2023
Multimodal Fish Feeding Intensity Assessment in Aquaculture
Fish feeding intensity assessment (FFIA) aims to evaluate the intensity ...
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08/24/2023
Sparks of Large Audio Models: A Survey and Outlook
This survey paper provides a comprehensive overview of the recent advanc...
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08/23/2023
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Sound events in daily life carry rich information about the objective wo...
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08/17/2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
For learning-based sound event localization and detection (SELD) methods...
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05/30/2023
Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning
Automated audio captioning (AAC) which generates textual descriptions of...
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05/05/2023
Time-weighted Frequency Domain Audio Representation with GMM Estimator for Anomalous Sound Detection
Although deep learning is the mainstream method in unsupervised anomalou...
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04/07/2023
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining
Existing contrastive learning methods for anomalous sound detection refi...
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04/07/2023
Graph Attention for Automated Audio Captioning
State-of-the-art audio captioning methods typically use the encoder-deco...
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03/30/2023
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
The advancement of audio-language (AL) multimodal learning tasks has bee...
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02/20/2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable particle filters are an emerging class of particle filter...
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12/23/2022
Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN
Deep learning-based methods have achieved significant performance for im...
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12/05/2022
Towards Generating Diverse Audio Captions via Adversarial Training
Automated audio captioning is a cross-modal translation task for describ...
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11/23/2022
ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation
Vision transformers, which were originally developed for natural languag...
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11/22/2022
Ontology-aware Learning and Evaluation for Audio Tagging
This study defines a new evaluation metric for audio tagging tasks to ov...
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10/28/2022
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Audio captioning is the task of generating captions that describe the co...
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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...
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10/22/2022
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Audio tagging aims to assign predefined tags to audio clips to indicate ...
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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...
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10/04/2022
Learning the Spectrogram Temporal Resolution for Audio Classification
The audio spectrogram is a time-frequency representation that has been w...
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10/03/2022
Simple Pooling Front-ends For Efficient Audio Classification
Recently, there has been increasing interest in building efficient audio...
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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...
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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...
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07/15/2022
Continual Learning For On-Device Environmental Sound Classification
Continuously learning new classes without catastrophic forgetting is a c...
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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...
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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...
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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...
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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...
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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...
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03/07/2022
Deep Neural Decision Forest for Acoustic Scene Classification
Acoustic scene classification (ASC) aims to classify an audio clip based...
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03/06/2022
Leveraging Pre-trained BERT for Audio Captioning
Audio captioning aims at using natural language to describe the content ...
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01/14/2022
Anomalous Sound Detection using Spectral-Temporal Information Fusion
Unsupervised anomalous sound detection aims to detect unknown abnormal s...
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01/10/2022
Local Information Assisted Attention-free Decoder for Audio Captioning
Automated audio captioning (AAC) aims to describe audio data with captio...
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10/13/2021
Diverse Audio Captioning via Adversarial Training
Audio captioning aims at generating natural language descriptions for au...
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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...
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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...
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10/09/2021
A Mutual learning framework for Few-shot Sound Event Detection
Although prototypical network (ProtoNet) has proved to be an effective m...
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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...
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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 ...
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07/21/2021
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
Deep generative models have recently achieved impressive performance in ...
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07/21/2021
CL4AC: A Contrastive Loss for Audio Captioning
Automated Audio captioning (AAC) is a cross-modal translation task that ...
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07/21/2021
Audio Captioning Transformer
Audio captioning aims to automatically generate a natural language descr...
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04/02/2021
An Audio-Based Deep Learning Framework ForBBC Television Programme Classification
This paper proposes a deep learning framework for classification of BBC ...
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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...
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03/30/2021
Time-domain Speech Enhancement with Generative Adversarial Learning
Speech enhancement aims to obtain speech signals with high intelligibili...
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02/09/2021
Enhancing Audio Augmentation Methods with Consistency Learning
Data augmentation is an inexpensive way to increase training data divers...
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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...
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10/25/2020
