research
∙
08/09/2023
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
Privacy preservation has long been a concern in smart acoustic monitorin...
share
research
∙
06/16/2023
Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances
This paper explores grading text-based audio retrieval relevances with c...
research
∙
06/15/2023
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
While direction of arrival (DOA) of sound events is generally estimated ...
research
∙
06/14/2023
Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications
Many multi-source localization and tracking models based on neural netwo...
research
∙
06/05/2023
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System
Speech representation learning with self-supervised algorithms has resul...
research
∙
05/31/2023
Attention-Based Methods For Audio Question Answering
Audio question answering (AQA) is the task of producing natural language...
research
∙
05/29/2023
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes
New classes of sounds constantly emerge with a few samples, making it ch...
research
∙
04/29/2023
Adversarial Representation Learning for Robust Privacy Preservation in Audio
Sound event detection systems are widely used in various applications su...
research
∙
03/14/2023
Multi-Channel Masking with Learnable Filterbank for Sound Source Separation
This work proposes a learnable filterbank based on a multi-channel maski...
research
∙
03/03/2023
Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints
Audio source separation is often achieved by estimating the magnitude sp...
research
∙
11/08/2022
On Negative Sampling for Contrastive Audio-Text Retrieval
This paper investigates negative sampling for contrastive learning in th...
research
∙
10/26/2022
Position tracking of a varying number of sound sources with sliding permutation invariant training
Recent data- and learning-based sound source localization (SSL) methods ...
research
∙
09/20/2022
Language-based Audio Retrieval Task in DCASE 2022 Challenge
Language-based audio retrieval is a task, where natural language textual...
research
∙
08/09/2022
Subjective Evaluation of Deep Neural Network Based Speech Enhancement Systems in Real-World Conditions
Subjective evaluation results for two low-latency deep neural networks (...
research
∙
08/04/2022
Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network
Automatic estimation of domestic activities from audio can be used to so...
research
∙
06/10/2022
Zero-Shot Audio Classification using Image Embeddings
Supervised learning methods can solve the given problem in the presence ...
research
∙
06/04/2022
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (ST...
research
∙
06/02/2022
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment
Learning from audio-visual data offers many possibilities to express cor...
research
∙
04/20/2022
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering
Audio question answering (AQA) is a multimodal translation task where a ...
research
∙
10/29/2021
Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers
Data-based and learning-based sound source localization (SSL) has shown ...
research
∙
06/22/2021
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair
Time-frequency masking or spectrum prediction computed via short symmetr...
research
∙
06/13/2021
A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection
This report presents the dataset and baseline of Task 3 of the DCASE2021...
research
∙
05/28/2021
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions
This paper presents the details of the Audio-Visual Scene Classification...
research
∙
10/27/2020
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
Self-supervised audio representation learning offers an attractive alter...
research
∙
10/22/2020
Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow
The paper presents a method for audio-based vehicle counting (VC) in low...
research
∙
10/21/2020
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information
Automated audio captioning (AAC) is a novel task, where a method takes a...
research
∙
09/06/2020
Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019
Sound event localization and detection is a novel area of research that ...
research
∙
07/10/2020
Conditioned Time-Dilated Convolutions for Sound Event Detection
Sound event detection (SED) is the task of identifying sound events alon...
research
∙
07/09/2020
Multi-task Regularization Based on Infrequent Classes for Audio Captioning
Audio captioning is a multi-modal task, focusing on using natural langua...
research
∙
07/06/2020
Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation
Recent approaches for music source separation are almost exclusively bas...
research
∙
07/06/2020
Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning
Audio captioning is the task of automatically creating a textual descrip...
research
∙
06/15/2020
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
Audio representation learning based on deep neural networks (DNNs) emerg...
research
∙
06/02/2020
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection
This report presents the dataset and the evaluation setup of the Sound E...
research
∙
02/12/2020
Active Learning for Sound Event Detection
This paper proposes an active learning system for sound event detection ...
research
∙
02/02/2020
Sound Event Detection with Depthwise Separable and Dilated Convolutions
State-of-the-art sound event detection (SED) methods usually employ a se...
research
∙
11/16/2019
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
The performance of sound event detection methods can significantly degra...
research
∙
11/08/2019
Online Spectrogram Inversion for Low-Latency Audio Source Separation
Audio source separation is usually achieved by estimating the short-time...
research
∙
11/01/2019
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters
Effective employment of deep neural networks (DNNs) in mobile devices an...
research
∙
10/21/2019
Clotho: An Audio Captioning Dataset
Audio captioning is the novel task of general audio content description ...
research
∙
07/22/2019
Crowdsourcing a Dataset of Audio Captions
Audio captioning is a novel field of multi-modal translation and it is t...
research
∙
07/19/2019
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
A sound event detection (SED) method typically takes as an input a seque...
research
∙
05/21/2019
A multi-room reverberant dataset for sound event localization and detection
This paper presents the sound event localization and detection (SELD) ta...
research
∙
05/06/2019
Zero-Shot Audio Classification Based on Class Label Embeddings
This paper proposes a zero-shot learning approach for audio classificati...
research
∙
05/02/2019
City classification from multiple real-world sound scenes
The majority of sound scene analysis work focuses on one of two clearly ...
research
∙
04/30/2019
Deep Learning for Audio Signal Processing
Given the recent surge in developments of deep learning, this article pr...
research
∙
04/29/2019
Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
This paper investigates the joint localization, detection, and tracking ...
research
∙
04/24/2019
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification
A challenging problem in deep learning-based machine listening field is ...
research
∙
02/19/2019
Low-Latency Deep Clustering For Speech Separation
This paper proposes a low algorithmic latency adaptation of the deep clu...
research
∙
08/17/2018
Unsupervised adversarial domain adaptation for acoustic scene classification
A general problem in acoustic scene classification task is the mismatche...
research
∙
08/02/2018