Volker Hohmann — accepted AI-conference papers

2023

Spectro-Temporal Post-Filtering Via Short-Time Target Cancellation for Directional Speech Enhancement in a Dual-Microphone Hearing AID

ICASSP 2023accepted

The approach to directional speech enhancement described and evaluated herein involves combining adaptive beamforming and spatial spectro-temporal post-filtering using a small dual-microphone end-fire array, as is used in modern digital hearing aids. An established and commonly used hearing aid algo…

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2020

Exploiting Periodicity Features for Joint Detection and DOA Estimation of Speech Sources Using Convolutional Neural Networks

Reza Varzandeh, Kamil Adiloglu, Simon Doclo, Volker Hohmann

ICASSP 2020accepted

While many algorithms deal with direction of arrival (DOA) estimation and voice activity detection (VAD) as two separate tasks, only a small number of data-driven methods have addressed these two tasks jointly. In this paper, a multi-input single-output convolutional neural network (CNN) is proposed…

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2015

Interaural coherence preservation in MWF-based binaural noise reduction algorithms using partial noise estimation

Daniel Marquardt, Volker Hohmann, Simon Doclo

ICASSP 2015accepted

Besides noise reduction an important objective of binaural speech enhancement algorithms is the preservation of the binaural cues of both desired and undesired sound sources. Recently an extension of the binaural Multi-channel Wiener filter (MWF), namely the MWF-IC, has been presented which aims to…

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