Tuomas Virtanen

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...

0 Diep Luong, et al. ∙

research

∙ 06/16/2023

Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances

This paper explores grading text-based audio retrieval relevances with c...

0 Huang Xie, et al. ∙

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 ...

5 Kazuki Shimada, et al. ∙

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...

0 David Diaz-Guerra, et al. ∙

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...

0 Khazar Khorrami, et al. ∙

research

∙ 05/31/2023

Attention-Based Methods For Audio Question Answering

Audio question answering (AQA) is the task of producing natural language...

0 Parthasaarathy Sudarsanam, et al. ∙

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...

0 Wei Xie, et al. ∙

research

∙ 04/29/2023

Adversarial Representation Learning for Robust Privacy Preservation in Audio

Sound event detection systems are widely used in various applications su...

0 Shayan Gharib, et al. ∙

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...

0 Wang Dai, et al. ∙

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...

0 Paul Magron, et al. ∙

research

∙ 11/08/2022

On Negative Sampling for Contrastive Audio-Text Retrieval

This paper investigates negative sampling for contrastive learning in th...

0 Huang Xie, et al. ∙

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 ...

0 David Diaz-Guerra, et al. ∙

research

∙ 09/20/2022

Language-based Audio Retrieval Task in DCASE 2022 Challenge

Language-based audio retrieval is a task, where natural language textual...

0 Huang Xie, et al. ∙

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 (...

0 Gaurav Naithani, et al. ∙

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...

0 Yanxiong Li, et al. ∙

research

∙ 06/10/2022

Zero-Shot Audio Classification using Image Embeddings

Supervised learning methods can solve the given problem in the presence ...

0 Duygu Dogan, et al. ∙

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...

0 Archontis Politis, et al. ∙

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...

0 Shanshan Wang, et al. ∙

research

∙ 04/20/2022

Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering

Audio question answering (AQA) is a multimodal translation task where a ...

2 Samuel Lipping, et al. ∙

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 ...

0 Sharath Adavanne, et al. ∙

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...

0 Shanshan Wang, et al. ∙

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...

0 Archontis Politis, et al. ∙

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...

0 Shanshan Wang, et al. ∙

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...

7 Xavier Favory, et al. ∙

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...

0 Slobodan Djukanović, et al. ∙

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...

18 An Tran, et al. ∙

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 ...

0 Archontis Politis, et al. ∙

research

∙ 07/10/2020

Conditioned Time-Dilated Convolutions for Sound Event Detection

Sound event detection (SED) is the task of identifying sound events alon...

0 Konstantinos Drossos, et al. ∙

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...

0 Emre Çakır, et al. ∙

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...

0 Pyry Pyykkönen, et al. ∙

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...

0 Khoa Nguyen, et al. ∙

research

∙ 06/15/2020

COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations

Audio representation learning based on deep neural networks (DNNs) emerg...

0 Xavier Favory, et al. ∙

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...

0 Archontis Politis, et al. ∙

research

∙ 02/12/2020

Active Learning for Sound Event Detection

This paper proposes an active learning system for sound event detection ...

0 Shuyang Zhao, et al. ∙

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...

0 Konstantinos Drossos, et al. ∙

research

∙ 11/16/2019

VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation

The performance of sound event detection methods can significantly degra...

0 Shayan Gharib, et al. ∙

research

∙ 11/08/2019

Online Spectrogram Inversion for Low-Latency Audio Source Separation

Audio source separation is usually achieved by estimating the short-time...

0 Paul Magron, et al. ∙

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...

0 Niccoló Nicodemo, et al. ∙

research

∙ 10/21/2019

Clotho: An Audio Captioning Dataset

Audio captioning is the novel task of general audio content description ...

0 Konstantinos Drossos, et al. ∙

research

∙ 07/22/2019

Crowdsourcing a Dataset of Audio Captions

Audio captioning is a novel field of multi-modal translation and it is t...

0 Samuel Lipping, et al. ∙

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...

0 Konstantinos Drossos, et al. ∙

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...

0 Sharath Adavanne, et al. ∙

research

∙ 05/06/2019

Zero-Shot Audio Classification Based on Class Label Embeddings

This paper proposes a zero-shot learning approach for audio classificati...

0 Huang Xie, et al. ∙

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 ...

0 Helen L Bear, et al. ∙

research

∙ 04/30/2019

Deep Learning for Audio Signal Processing

Given the recent surge in developments of deep learning, this article pr...

0 Hendrik Purwins, et al. ∙

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 ...

0 Sharath Adavanne, et al. ∙

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 ...

0 Konstantinos Drossos, et al. ∙

research

∙ 02/19/2019

Low-Latency Deep Clustering For Speech Separation

This paper proposes a low algorithmic latency adaptation of the deep clu...

0 Shanshan Wang, et al. ∙

research

∙ 08/17/2018

Unsupervised adversarial domain adaptation for acoustic scene classification

A general problem in acoustic scene classification task is the mismatche...

0 Shayan Gharib, et al. ∙

research

∙ 08/02/2018

Acoustic Scene Classification: A Competition Review

In this paper we study the problem of acoustic scene classification, i.e...

0 Shayan Gharib, et al. ∙

Tuomas Virtanen

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