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To estimate the direction of arrival (DOA) of multiple speakers with methods that use prototype transfer functions, frequency-dependent spatial spectra (SPS) are usually constructed. To make the DOA estimation robust, SPS from different…

音频与语音处理 · 电气工程与系统科学 2026-02-11 Daniel Fejgin , Elior Hadad , Sharon Gannot , Zbyněk Koldovský , Simon Doclo

Aiming at estimating the direction of arrival (DOA) of a desired speaker in a multi-talker environment using a microphone array, in this paper we propose a signal-informed method exploiting the availability of an external microphone…

音频与语音处理 · 电气工程与系统科学 2022-06-14 Ulrik Kowalk , Simon Doclo , Joerg Bitzer

An approach to the estimation of the Direction of Arrival (DOA) of wide-band signals with a planar microphone array is presented. Our algorithm estimates an unambiguous DOA using a single planar array in which the microphones are placed…

声音 · 计算机科学 2018-11-19 Rudolf Byker , Thomas Niesler

Conventional direction of arrival (DOA) estimators are based on array processing using either time differences or beamforming. The proposed approach is based on the received power at each microphone, which enables simple hardware, low…

信号处理 · 电气工程与系统科学 2025-09-16 Gustav Zetterqvist , Fredrik Gustafsson , Gustaf Hendeby

Multi-source localization is an important and challenging technique for multi-talker conversation analysis. This paper proposes a novel supervised learning method using deep neural networks to estimate the direction of arrival (DOA) of all…

音频与语音处理 · 电气工程与系统科学 2021-11-30 Aswin Shanmugam Subramanian , Chao Weng , Shinji Watanabe , Meng Yu , Dong Yu

Deep neural networks (DNNs) have greatly benefited direction of arrival (DoA) estimation methods for speech source localization in noisy environments. However, their localization accuracy is still far from satisfactory due to the…

音频与语音处理 · 电气工程与系统科学 2023-02-21 Kuan-Lin Chen , Ching-Hua Lee , Bhaskar D. Rao , Harinath Garudadri

Wideband direction of arrival (DOA) estimation techniques for sensors array have been studied extensively in the literature. Nevertheless, needing prior information on the number and directions of sources or demanding heavy computational…

信号处理 · 电气工程与系统科学 2020-06-15 Shervin Amirsoleimani , Ali Olfat

Estimation of the direction-of-arrival (DoA) of a speaker in a room is important in many audio signal processing applications. Environments with reverberation that masks the DoA information are particularly challenging. Recently, a DoA…

音频与语音处理 · 电气工程与系统科学 2023-10-06 Boaz Rafaely , Koby Alhaiany

In this letter, we propose a joint frequency-space sparse reconstruction method for direction-of-arrival (DOA) estimation, which effectively addresses the issues arising from the existence of coherent sources and array amplitude-phase…

信号处理 · 电气工程与系统科学 2025-09-05 Yutong Chen , Cong Zhou , Changsheng You , Shuo Shi

This paper presents a method for real-time estimation of 2-dimensional direction of arrival (2D-DOA) of one or more sound sources using a nonlinear array of three microphones. 2D-DOA is estimated employing frame-level time difference of…

音频与语音处理 · 电气工程与系统科学 2023-05-10 Anton Kovalyov , Kashyap Patel , Issa Panahi

This article focuses on estimating relative transfer functions (RTFs) for beamforming applications. Traditional methods often assume that spectra are uncorrelated, an assumption that is often violated in practical scenarios due to factors…

音频与语音处理 · 电气工程与系统科学 2025-02-18 Giovanni Bologni , Richard C. Hendriks , Richard Heusdens

Direction-of-arrival (DoA) is a critical parameter in wireless channel estimation. With the ever-increasing requirement of high data rate and ubiquitous devices in wireless communication systems, effective wideband DoA estimation is…

信号处理 · 电气工程与系统科学 2023-11-21 Xiaorui Ding , Wenbo Xu , Yue Wang

Many multi-microphone speech enhancement algorithms require the relative transfer function (RTF) vector of the desired speech source, relating the acoustic transfer functions of all array microphones to a reference microphone. In this…

音频与语音处理 · 电气工程与系统科学 2022-11-22 N. Gößling , S. Doclo

We propose a joint estimation method for the Direction-of-Arrival (DoA) and the Noise Covariance Matrix (NCM) tailored for beamforming applications. Building upon an existing NCM framework, our approach simplifies the estimation procedure…

音频与语音处理 · 电气工程与系统科学 2026-01-21 Vitor Gelsleichter Probst Curtarelli , Stephan Paul , Anderson Wedderhoff Spengler

To achieve human-like behaviour during speech interactions, it is necessary for a humanoid robot to estimate the location of a human talker. Here, we present a method to optimize the parameters used for the direction of arrival (DOA)…

机器人学 · 计算机科学 2023-07-25 Pranav Barot , Katja Mombaur , Ewen MacDonald

The problem of direction-of-arrival (DOA) estimation in the presence of nonuniform sensor noise is considered and a novel algorithm is developed. The algorithm consists of three phases. First, the diagonal nonuniform sensor noise covariance…

信号处理 · 电气工程与系统科学 2021-10-01 Majdoddin Esfandiari , Sergiy A. Vorobyov

A popular method to estimate the positions or directions-of-arrival (DOAs) of multiple sound sources using an array of microphones is based on steered-response power (SRP) beamforming. For a three-dimensional scenario, SRP-based methods…

音频与语音处理 · 电气工程与系统科学 2026-04-21 Klaus Brümann , Simon Doclo

Accurately estimating the direction-of-arrival (DOA) of a speech source using a compact microphone array (CMA) is often complicated by background noise and reverberation. A commonly used DOA estimation method is the steered response power…

音频与语音处理 · 电气工程与系统科学 2024-09-04 Klaus Brümann , Simon Doclo

Range estimation of a far field sound source in a reverberant environment is known to be a notoriously difficult problem, hence most localization methods are only capable of estimating the source's Direction-of-Arrival (DoA). In an earlier…

音频与语音处理 · 电气工程与系统科学 2022-03-11 Jérôme Daniel , Srđan Kitić

Most of the prior studies in the spatial \ac{DoA} domain focus on a single modality. However, humans use auditory and visual senses to detect the presence of sound sources. With this motivation, we propose to use neural networks with audio…

声音 · 计算机科学 2021-05-14 Xinyuan Qian , Maulik Madhavi , Zexu Pan , Jiadong Wang , Haizhou Li