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This paper addresses the challenge of estimating the relative transfer function (RTF) vectors of multiple speakers in a noisy and reverberant environment. More specifically, we consider a scenario where two speakers activate successively.…

Audio and Speech Processing · Electrical Eng. & Systems 2023-10-26 Henri Gode , Simon Doclo

In many multi-microphone algorithms, an estimate of the relative transfer functions (RTFs) of the desired speaker is required. Recently, a computationally efficient RTF vector estimation method was proposed for acoustic sensor networks,…

Audio and Speech Processing · Electrical Eng. & Systems 2023-04-07 Wiebke Middelberg , Simon Doclo

In hearing aid applications, an important objective is to accurately estimate the direction of arrival (DOA) of multiple speakers in noisy and reverberant environments. Recently, we proposed a binaural DOA estimation method, where the DOAs…

Audio and Speech Processing · Electrical Eng. & Systems 2026-02-11 Daniel Fejgin , Simon Doclo

In this paper we consider a binaural hearing aid setup, where in addition to the head-mounted microphones an external microphone is available. For this setup, we investigate the performance of several relative transfer function (RTF) vector…

Audio and Speech Processing · Electrical Eng. & Systems 2022-05-19 Daniel Fejgin , Simon Doclo

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…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-22 N. Gößling , S. Doclo

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…

Audio and Speech Processing · Electrical Eng. & Systems 2025-02-18 Giovanni Bologni , Richard C. Hendriks , Richard Heusdens

Besides suppressing all undesired sound sources, an important objective of a binaural noise reduction algorithm for hearing devices is the preservation of the binaural cues, aiming at preserving the spatial perception of the acoustic scene.…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-22 N. Gößling , S. Doclo

The binaural minimum-variance distortionless-response (BMVDR) beamformer is a well-known noise reduction algorithm that can be steered using the relative transfer function (RTF) vector of the desired speech source. Exploiting the…

Audio and Speech Processing · Electrical Eng. & Systems 2022-11-22 Nico Gößling , Wiebke Middelberg , Simon Doclo

Relative transfer functions (RTFs) of sound sources play a crucial role in beamforming, enabling effective noise and interference suppression. This paper addresses the challenge of online estimating the RTF vectors of multiple sound sources…

Audio and Speech Processing · Electrical Eng. & Systems 2025-08-08 Henri Gode , Simon Doclo

The Relative Transfer Matrix (ReTM), recently introduced as a generalization of the relative transfer function for multiple receivers and sources, shows promising performance when applied to speech enhancement and speaker separation in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-23 Wageesha N. Manamperi , Thushara D. Abhayapala

Accurate and reliable identification of the relative transfer functions (RTFs) between microphones with respect to a desired source is an essential component in the design of microphone array beamformers, specifically when applying the…

Audio and Speech Processing · Electrical Eng. & Systems 2024-12-19 Daniel Levi , Amit Sofer , Sharon Gannot

Recently, a relative transfer function (RTF)-vector-based method has been proposed to estimate the direction of arrival (DOA) of a target speaker for a binaural hearing aid setup, assuming the availability of external microphones. This…

Audio and Speech Processing · Electrical Eng. & Systems 2026-02-11 Daniel Fejgin , Simon Doclo

This paper addresses the problem of binaural localization of a single speech source in noisy and reverberant environments. For a given binaural microphone setup, the binaural response corresponding to the direct-path propagation of a single…

Sound · Computer Science 2016-09-08 Xiaofei Li , Laurent Girin , Radu Horaud , Sharon Gannot

Relative impulse responses between microphones are usually long and dense due to the reverberant acoustic environment. Estimating them from short and noisy recordings poses a long-standing challenge of audio signal processing. In this paper…

Sound · Computer Science 2016-11-17 Zbynek Koldovsky , Jiri Malek , Sharon Gannot

Many spatial filtering algorithms used for voice capture in, e.g., teleconferencing applications, can benefit from or even rely on knowledge of Relative Transfer Functions (RTFs). Accordingly, many RTF estimators have been proposed which,…

Audio and Speech Processing · Electrical Eng. & Systems 2021-10-06 Andreas Brendel , Johannes Zeitler , Walter Kellermann

Spectrum sensing is a fundamental component is a cognitive radio. In this paper, we propose new sensing methods based on the eigenvalues of the covariance matrix of signals received at the secondary users. In particular, two sensing…

Information Theory · Computer Science 2016-09-08 Yonghong Zeng , Ying-Chang Liang

In this paper, a multi-channel time-varying covariance matrix model for late reverberation reduction is proposed. Reflecting that variance of the late reverberation is time-varying and it depends on past speech source variance, the proposed…

Audio and Speech Processing · Electrical Eng. & Systems 2019-10-22 Masahito Togami

Direct-path relative transfer function (DP-RTF) refers to the ratio between the direct-path acoustic transfer functions of two microphone channels. Though DP-RTF fully encodes the sound spatial cues and serves as a reliable localization…

Sound · Computer Science 2022-02-17 Bing Yang , Hong Liu , Xiaofei Li

This paper introduces a multi-microphone method for extracting a desired speaker from a mixture involving multiple speakers and directional noise in a reverberant environment. In this work, we propose leveraging the instantaneous relative…

Sound · Computer Science 2025-02-11 Aviad Eisenberg , Sharon Gannot , Shlomo E. Chazan

This paper investigates the signal detection problem in colored noise with an unknown covariance matrix. In particular, we focus on detecting a non-random signal by capitalizing on the leading eigenvalue (a.k.a. Roy's largest root) of the…

Signal Processing · Electrical Eng. & Systems 2024-12-10 Prathapasinghe Dharmawansa , Saman Atapattu , Jamie Evans , Merouane Debbah
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