537 citations · 835 across the 48 of their papers we have counts for
16 papers · 1 filter
Speaker head orientation estimation with a single microphone array using phase spectrogram features
Balint Turi, Archontis Politis, Parthasaarathy Sudarsanam +1
Estimating a speaker's head orientation from audio can provide valuable information in smart environments, meetings, and driver monitoring. We propose a novel approach that leverag…
Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification
Kazuki Shimada, Archontis Politis, Iran R. Roman +10
This paper presents the objective, dataset, baseline, and metrics of Task 3 of the DCASE2025 Challenge on sound event localization and detection (SELD). In previous editions, the c…
Towards Spatial Audio Understanding via Question Answering
Parthasaarathy Sudarsanam, Archontis Politis
In this paper, we introduce a novel framework for spatial audio understanding of first-order ambisonic (FOA) signals through a question answering (QA) paradigm, aiming to extend th…
Sound Event Detection and Localization with Distance Estimation
Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros
Sound Event Detection and Localization (SELD) is a combined task of identifying sound events and their corresponding direction-of-arrival (DOA). While this task has numerous applic…
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation
Szymon Drgas, Lars Bramsløw, Archontis Politis +2
This paper proposes neural networks for compensating sensorineural hearing loss. The aim of the hearing loss compensation task is to transform a speech signal to increase speech in…
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam +9
While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perce…
How to (virtually) train your speaker localizer
Prerak Srivastava, Antoine Deleforge, Archontis Politis +1
Learning-based methods have become ubiquitous in speaker localization. Existing systems rely on simulated training sets for the lack of sufficiently large, diverse and annotated re…
Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio
Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros
Sound source proximity and distance estimation are of great interest in many practical applications, since they provide significant information for acoustic scene analysis. As both…
Assessment of Self-Attention on Learned Features For Sound Event Localization and Detection
Parthasaarathy Sudarsanam, Archontis Politis, Konstantinos Drossos
Joint sound event localization and detection (SELD) is an emerging audio signal processing task adding spatial dimensions to acoustic scene analysis and sound event detection. A po…
A multi-room reverberant dataset for sound event localization and detection
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
This paper presents the sound event localization and detection (SELD) task setup for the DCASE 2019 challenge. The goal of the SELD task is to detect the temporal activities of a k…
Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
This paper investigates the joint localization, detection, and tracking of sound events using a convolutional recurrent neural network (CRNN). We use a CRNN previously proposed for…
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks
Sharath Adavanne, Archontis Politis, Joonas Nikunen +1
In this paper, we propose a convolutional recurrent neural network for joint sound event localization and detection (SELD) of multiple overlapping sound events in three-dimensional…
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
In this paper, we propose a stacked convolutional and recurrent neural network (CRNN) with a 3D convolutional neural network (CNN) in the first layer for the multichannel sound eve…
Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
This paper proposes a deep neural network for estimating the directions of arrival (DOA) of multiple sound sources. The proposed stacked convolutional and recurrent neural network…
Acoustic intensity, energy-density and diffuseness estimation in a directionally-constrained region
Archontis Politis, Ville Pulkki
This work presents a method for estimation of the acoustic intensity, the energy density and the associated sound field diffuseness around the origin, when the sound field is weigh…
Diffuse-field coherence of sensors with arbitrary directional responses
Archontis Politis
Knowledge of the diffuse-field coherence between array sensors is a basic assumption for a wide range of array processing applications. Explicit relations previously existed only f…