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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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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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06/15/2023
Audio Tagging on an Embedded Hardware Platform
Convolutional neural networks (CNNs) have exhibited state-of-the-art per...
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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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05/30/2023
E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks
Sounds carry an abundance of information about activities and events in ...
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05/11/2023
Universal Source Separation with Weakly Labelled Data
Universal source separation (USS) is a fundamental research task for com...
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05/05/2023
Compressing audio CNNs with graph centrality based filter pruning
Convolutional neural networks (CNNs) are commonplace in high-performing ...
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04/05/2023
Efficient CNNs via Passive Filter Pruning
Convolutional neural networks (CNNs) have shown state-of-the-art perform...
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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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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
Efficient Similarity-based Passive Filter Pruning for Compressing CNNs
Convolution neural networks (CNNs) have shown great success in various a...
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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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09/05/2022
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Sound event localization and detection (SELD) is a joint task of sound e...
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07/23/2022
Low-complexity CNNs for Acoustic Scene Classification
This paper presents a low-complexity framework for acoustic scene classi...
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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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03/29/2022
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
We present a method to develop low-complexity convolutional neural netwo...
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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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03/19/2022
A Track-Wise Ensemble Event Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD) aims at detecti...
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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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10/13/2021
Diverse Audio Captioning via Adversarial Training
Audio captioning aims at generating natural language descriptions for au...
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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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07/22/2021
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions
The goal of Unsupervised Anomaly Detection (UAD) is to detect anomalous ...
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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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05/18/2021
Federated Learning With Highly Imbalanced Audio Data
Federated learning (FL) is a privacy-preserving machine learning method ...
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11/18/2020
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification
Acoustic Scene Classification (ASC) aims to classify the environment in ...
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10/28/2020
Raw Audio for Depression Detection Can Be More Robust Against Gender Imbalance than Mel-Spectrogram Features
Depression is a large-scale mental health problem and a challenging area...
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10/25/2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD), which jointly ...
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09/30/2020
Event-Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection is not only detecting ...
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02/11/2020
Learning with Out-of-Distribution Data for Audio Classification
In supervised machine learning, the assumption that training data is lab...
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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...
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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 ...
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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...
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10/22/2019
Sound Event Localization and Detection Using CRNN on Pairs of Microphones
This paper proposes sound event localization and detection methods from ...
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10/21/2019
Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation
Deep neural networks with convolutional layers usually process the entir...
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06/14/2019
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Single-channel signal separation and deconvolution aims to separate and ...
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05/01/2019
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Sound event detection (SED) and localization refer to recognizing sound ...
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04/27/2019