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Direction-of-arrival (DOA) estimation using continuous aperture array (CAPA) is studied. Compared to the conventional spatially discrete array (SPDA), CAPA significantly enhances the spatial degrees-of-freedoms (DoFs) for DOA estimation,…

信号处理 · 电气工程与系统科学 2025-07-30 Haonan Si , Zhaolin Wang , Xiansheng Guo , Jin Zhang , Yuanwei Liu

We study direction-of-arrival (DOA) estimation from coarsely quantized data. We focus on a two-step approach which first estimates the signal subspace via covariance estimation and then extracts DOA angles by the ESPRIT algorithm. In…

信息论 · 计算机科学 2025-08-12 Sjoerd Dirksen , Weilin Li , Johannes Maly

Target Speaker Extraction (TSE) plays a critical role in enhancing speech signals in noisy and multi-speaker environments. This paper presents an end-to-end TSE model that incorporates Direction of Arrival (DOA) and beamwidth embeddings to…

音频与语音处理 · 电气工程与系统科学 2025-07-29 Kangqi Jing , Wenbin Zhang , Yu Gao

We propose an efficient method to estimate source power spectral densities (PSDs) in a multi-source reverberant environment using a spherical microphone array. The proposed method utilizes the spatial correlation between the spherical…

声音 · 计算机科学 2018-05-21 Abdullah Fahim , Prasanga N. Samarasinghe , Thushara D. Abhayapala

In this paper, we propose a novel reduced-rank algorithm for direction of arrival (DOA) estimation based on the minimum variance (MV) power spectral evaluation. It is suitable to DOA estimation with large arrays and can be applied to…

信息论 · 计算机科学 2013-03-07 Lei Wang , Rodrigo C. de Lamare

Directions of arrival (DOA) estimation or localization of sources is an important problem in many applications for which numerous algorithms have been proposed. Most localization methods use block-level processing that combines multiple…

信号处理 · 电气工程与系统科学 2022-04-21 Ruchi Pandey , Santosh Nannuru

Estimation of the direction-of-arrival (DOA) of sound sources is an important step in sound field analysis. Rigid spherical microphone arrays allow the calculation of a compact spherical harmonic representation of the sound field. A basic…

声音 · 计算机科学 2018-03-06 Mert Burkay Coteli , Orhun Olgun , Huseyin Hacihabiboglu

We propose a direction-of-arrival (DOA) estimation method for Sound Event Localization and Detection (SELD). Direct estimation of DOA using a deep neural network (DNN), i.e. completely-datadriven approach, achieves high accuracy. However,…

音频与语音处理 · 电气工程与系统科学 2020-02-18 Masahiro Yasuda , Yuma Koizumi , Shoichiro Saito , Hisashi Uematsu , Keisuke Imoto

The use of spatial information with multiple microphones can improve far-field automatic speech recognition (ASR) accuracy. However, conventional microphone array techniques degrade speech enhancement performance when there is an array…

音频与语音处理 · 电气工程与系统科学 2021-12-23 Kenichi Kumatani , Minhua Wu , Shiva Sundaram , Nikko Strom , Bjorn Hoffmeister

Location-based services such as autonomous vehicles, drones, and indoor positioning require precise and scalable distance estimates. The bias and variance of range estimators inherently influence the resulting localization quality. In this…

信号处理 · 电气工程与系统科学 2024-10-23 Patrick Rathje , Olaf Landsiedel

We propose a spatial loss for unsupervised multi-channel source separation. The proposed loss exploits the duality of direction of arrival (DOA) and beamforming: the steering and beamforming vectors should be aligned for the target source,…

音频与语音处理 · 电气工程与系统科学 2022-04-04 Kohei Saijo , Robin Scheibler

The multichannel Wiener filter (MWF) and its variations have been extensively applied to binaural hearing aids. However, its major drawback is the distortion of the binaural cues of the residual noise, changing the original acoustic…

音频与语音处理 · 电气工程与系统科学 2019-11-12 Johnny Werner , Marcio H. Costa

Direction of arrival (DOA) estimation is a fundamental problem in array signal processing with applications spanning radar, sonar, wireless communications, and acoustic signal processing. This tutorial survey provides a comprehensive…

信号处理 · 电气工程与系统科学 2025-09-03 Amgad A. Salama

This paper addresses the problem of under-determinded speech source separation from multichannel microphone singals, i.e. the convolutive mixtures of multiple sources. The time-domain signals are first transformed to the short-time Fourier…

声音 · 计算机科学 2019-04-11 Xiaofei Li , Laurent Girin , Radu Horaud

Classical methods for acoustic scene mapping require the estimation of time difference of arrival (TDOA) between microphones. Unfortunately, TDOA estimation is very sensitive to reverberation and additive noise. We introduce an unsupervised…

音频与语音处理 · 电气工程与系统科学 2024-03-14 Idan Cohen , Ofir Lindenbaum , Sharon Gannot

This work analyses the performance-complexity tradeoff for different direction of arrival (DoA) estimation techniques. Such tradeoff is investigated taking into account uniform linear array structures. Several DoA estimation techniques have…

信号处理 · 电气工程与系统科学 2020-02-06 Edno Gentilho , Paulo Rogério Scalassara , Taufik Abrão

In this paper, we propose a dual-encoder ASR architecture for joint modeling of close-talk (CT) and far-talk (FT) speech, in order to combine the advantages of CT and FT devices for better accuracy. The key idea is to add an encoder…

音频与语音处理 · 电气工程与系统科学 2021-09-21 Felix Weninger , Marco Gaudesi , Ralf Leibold , Roberto Gemello , Puming Zhan

Multichannel speech enhancement is widely used as a front-end in microphone array processing systems. While most existing approaches produce a single enhanced signal, direction-preserving multiple-input multiple-output (MIMO) methods…

音频与语音处理 · 电气工程与系统科学 2026-04-14 Thomas Deppisch

This letter investigates the non-coherent Direction of Arrival (DOA) estimation problem dealing with the DOA estimation from magnitude only measurements of the array output. The magnitude squared of the array output is expanded as a…

应用统计 · 统计学 2016-06-22 Hadi Zayyani , Mehdi Korki

In this paper we present a new method for text-independent speaker verification that combines segmental dynamic time warping (SDTW) and the d-vector approach. The d-vectors, generated from a feed forward deep neural network trained to…

声音 · 计算机科学 2018-06-27 Mohamed Adel , Mohamed Afify , Akram Gaballah