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20172024
most citedDeep Learning for Audio Signal Processing

859 citations · 1.5k across the 31 of their papers we have counts for

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23 papers · 1 filter

eess.AS20224 cited

Language-based Audio Retrieval Task in DCASE 2022 Challenge

Huang Xie, Samuel Lipping, Tuomas Virtanen

Language-based audio retrieval is a task, where natural language textual captions are used as queries to retrieve audio signals from a dataset. It has been first introduced into DC…

eess.AS2021

Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers

Sharath Adavanne, Archontis Politis, Tuomas Virtanen

Data-based and learning-based sound source localization (SSL) has shown promising results in challenging conditions, and is commonly set as a classification or a regression problem…

eess.AS2021265 cited

Sound Event Detection: A Tutorial

Annamaria Mesaros, Toni Heittola, Tuomas Virtanen +1

The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at wh…

eess.AS202120 cited

A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection

Archontis Politis, Sharath Adavanne, Daniel Krause +3

This report presents the dataset and baseline of Task 3 of the DCASE2021 Challenge on Sound Event Localization and Detection (SELD). The dataset is based on emulation of real recor…

eess.AS2021

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments

Pasi Pertilä, Emre Cakir, Aapo Hakala +4

Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assist…

eess.AS20211 cited

Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair

Shanshan Wang, Gaurav Naithani, Archontis Politis +1

Time-frequency masking or spectrum prediction computed via short symmetric windows are commonly used in low-latency deep neural network (DNN) based source separation. In this paper…