42 citations · 259 across the 41 of their papers we have counts for
12 papers · 1 filter
Geometry-aware DoA Estimation using a Deep Neural Network with mixed-data input features
Ulrik Kowalk, Simon Doclo, Joerg Bitzer
Unlike model-based direction of arrival (DoA) estimation algorithms, supervised learning-based DoA estimation algorithms based on deep neural networks (DNNs) are usually trained fo…
Assisted RTF-Vector-Based Binaural Direction of Arrival Estimation Exploiting a Calibrated External Microphone Array
Daniel Fejgin, Simon Doclo
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,…
Sampling Rate Offset Estimation and Compensation for Distributed Adaptive Node-Specific Signal Estimation in Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +1
Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor network (WASN) can hinder the ability of distributed adaptive algorithms to perform as inte…
Model-based estimation of in-car-communication feedback applied to speech zone detection
Kaspar Müller, Simon Doclo, Jan Østergaard +1
Modern cars provide versatile tools to enhance speech communication. While an in-car communication (ICC) system aims at enhancing communication between the passengers by playing ba…
Signal-informed DNN-based DOA Estimation combining an External Microphone and GCC-PHAT Features
Ulrik Kowalk, Simon Doclo, Joerg Bitzer
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 e…
Speaker-conditioning Single-channel Target Speaker Extraction using Conformer-based Architectures
Ragini Sinha, Marvin Tammen, Christian Rollwage +1
Target speaker extraction aims at extracting the target speaker from a mixture of multiple speakers exploiting auxiliary information about the target speaker. In this paper, we con…