8 citations · 23 across the 21 of their papers we have counts for
9 papers · 2 filters
I-DCCRN-VAE: An Improved Deep Representation Learning Framework for Complex VAE-based Single-channel Speech Enhancement
Jiatong Li, Simon Doclo
Recently, a complex variational autoencoder (VAE)-based single-channel speech enhancement system based on the DCCRN architecture has been proposed. In this system, a noise suppress…
Subjective quality evaluation of personalized own voice reconstruction systems
Mattes Ohlenbusch, Christian Rollwage, Simon Doclo +1
Own voice pickup technology for hearable devices facilitates communication in noisy environments. Own voice reconstruction (OVR) systems enhance the quality and intelligibility of…
A Steered Response Power Method for Sound Source Localization With Generic Acoustic Models
Kaspar Müller, Markus Buck, Simon Doclo +2
The steered response power (SRP) method is one of the most popular approaches for acoustic source localization with microphone arrays. It is often based on simplifying acoustic ass…
Binaural Localization Model for Speech in Noise
Vikas Tokala, Eric Grinstein, Rory Brooks +4
Binaural acoustic source localization is important to human listeners for spatial awareness, communication and safety. In this paper, an end-to-end binaural localization model for…
Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks
Vikas Tokala, Eric Grinstein, Mike Brookes +3
From hearing aids to augmented and virtual reality devices, binaural speech enhancement algorithms have been established as state-of-the-art techniques to improve speech intelligib…
Comparison of Knowledge Distillation Methods for Low-complexity Multi-microphone Speech Enhancement using the FT-JNF Architecture
Robert Metzger, Mattes Ohlenbusch, Christian Rollwage +1
Multi-microphone speech enhancement using deep neural networks (DNNs) has significantly progressed in recent years. However, many proposed DNN-based speech enhancement algorithms c…
Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation
Klaus Brümann, Kouei Yamaoka, Nobutaka Ono +1
Estimating the position of a speech source based on time-differences-of-arrival (TDOAs) is often adversely affected by background noise and reverberation. A popular method to estim…
Soft-Constrained Spatially Selective Active Noise Control for Open-fitting Hearables
Tong Xiao, Reinhild Roden, Matthias Blau +1
Recent advances in spatially selective active noise control (SSANC) using multiple microphones have enabled hearables to suppress undesired noise while preserving desired speech fr…
Spatially Selective Active Noise Control for Open-fitting Hearables with Acausal Optimization
Tong Xiao, Simon Doclo
Recent advances in active noise control have enabled the development of hearables with spatial selectivity, which actively suppress undesired noise while preserving desired sound f…