537 citations · 835 across the 48 of their papers we have counts for
50 papers
Few-Shot Calibration for Sim-to-Real Single-Channel Speaker Distance Estimation
Michael Neri, Archontis Politis, Tuomas Virtanen
Speaker distance estimators are trained almost exclusively on simulated room acoustics, because real recordings annotated with the true talker-to-microphone distance are scarce. We…
Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
Long speech separation typically employs a segment-separation-stitch paradigm where recordings are divided into short segments, processed independently, and stitched together. Its…
Neural Array-Generic Direction-of-Arrival Estimation Exploiting Array Transfer Functions
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
Direction-of-arrival (DoA) estimation is a key component of multichannel audio processing, yet many deep learning approaches remain tied to the microphone arrays used during traini…
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…
CNN Models for Microphone Array Covariance Matrix Upsampling and Acoustic Imaging
Marianthi Adamopoulou, Parthasaarathy Sudarsanam, David Diaz-Guerra +5
Acoustic imaging visualization is a core methodology in acoustics, enabling spatial analysis of sound sources and acoustic scenes. However, limited sensor availability in practical…
Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation
Michael Neri, Archontis Politis, Tuomas Virtanen
Single-channel speaker distance estimation has recently achieved centimeter-level accuracy in simulated environments, yet it remains unclear which components of the room impulse re…
Generalised Transcoding Framework for Arbitrary Spatial Audio Capture and Playback Formats
Archontis Politis, Janani Fernandez, Leo McCormack
This article introduces a unified framework for the parametric analysis and reproduction of spatial sound scenes captured either as Ambisonic signals or as raw microphone array sig…
Inter-Speaker Relative Cues for Two-Stage Text-Guided Target Speech Extraction
Wang Dai, Archontis Politis, Tuomas Virtanen
This paper investigates the use of relative cues for text-based target speech extraction (TSE). We first provide a theoretical justification for relative cues from the perspectives…
Moving Speaker Separation via Parallel Spectral-Spatial Processing
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
Multi-channel speech separation in dynamic environments is challenging as time-varying spatial and spectral features evolve at different temporal scales. Existing methods typically…
Beyond Omnidirectional: Neural Ambisonics Encoding for Arbitrary Microphone Directivity Patterns using Cross-Attention
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
We present a deep neural network approach for encoding microphone array signals into Ambisonics that generalizes to arbitrary microphone array configurations with fixed microphone…
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…
Multi-Utterance Speech Separation and Association Trained on Short Segments
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
Current deep neural network (DNN) based speech separation faces a fundamental challenge -- while the models need to be trained on short segments due to computational constraints, r…
Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction
Wang Dai, Archontis Politis, Tuomas Virtanen
We propose a novel approach that utilizes inter-speaker relative cues to distinguish target speakers and extract their voices from mixtures. Continuous cues (e.g., temporal order,…
Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers
Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1
This paper addresses the problem of single-channel speech separation, where the number of speakers is unknown, and each speaker may speak multiple utterances. We propose a speech s…
Score-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
Eetu Tunturi, David Diaz-Guerra, Archontis Politis +1
Music source separation is the task of separating a mixture of instruments into constituent tracks. Music source separation models are typically trained using only audio data, alth…
Gen-A: Generalizing Ambisonics Neural Encoding to Unseen Microphone Arrays
Mikko Heikkinen, Archontis Politis, Konstantinos Drossos +1
Using deep neural networks (DNNs) for encoding of microphone array (MA) signals to the Ambisonics spatial audio format can surpass certain limitations of established conventional m…
Class-Incremental Learning for Sound Event Localization and Detection
Ruchi Pandey, Manjunath Mulimani, Archontis Politis +1
This paper investigates the feasibility of class-incremental learning (CIL) for Sound Event Localization and Detection (SELD) tasks. The method features an incremental learner that…
SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation
Jaime Garcia-Martinez, David Diaz-Guerra, Archontis Politis +3
Recent advancements in music source separation have significantly progressed, particularly in isolating vocals, drums, and bass elements from mixed tracks. These developments owe m…
Gaunt coefficients for complex and real spherical harmonics with applications to spherical array processing and Ambisonics
Archontis Politis
Acoustical signal processing of directional representations of sound fields, including source, receiver, and scatterer transfer functions, are often expressed and modeled in the sp…
Reference Channel Selection by Multi-Channel Masking for End-to-End Multi-Channel Speech Enhancement
Wang Dai, Xiaofei Li, Archontis Politis +1
In end-to-end multi-channel speech enhancement, the traditional approach of designating one microphone signal as the reference for processing may not always yield optimal results.…
Speaker Distance Estimation in Enclosures from Single-Channel Audio
Michael Neri, Archontis Politis, Daniel Krause +2
Distance estimation from audio plays a crucial role in various applications, such as acoustic scene analysis, sound source localization, and room modeling. Most studies predominant…
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…
Perceptually-motivated Spatial Audio Codec for Higher-Order Ambisonics Compression
Christoph Hold, Leo McCormack, Archontis Politis +1
Scene-based spatial audio formats, such as Ambisonics, are playback system agnostic and may therefore be favoured for delivering immersive audio experiences to a wide range of (pot…