Binaural Speech Enhancement with Spatial Cue Preservation Utilising Simultaneous Masking

Conference Paper (2017)
Author(s)

Andreas I. Koutrouvelis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Jesper Jensen (Aalborg University, Oticon A/S)

Meng Guo (Oticon A/S)

Richard C. Hendriks (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Richard Heusdens (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.23919/EUSIPCO.2017.8081277 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Signal Processing Systems
Pages (from-to)
598-602
ISBN (electronic)
978-0-9928626-7-1
Event
EUSIPCO 2017 (2017-08-28 - 2017-09-02), Kos Island, Greece
Downloads counter
167

Abstract

Binaural multi-microphone noise reduction methods aim at noise suppression while preserving the spatial impression of the acoustic scene. Recently, a new binaural speech enhancement method was proposed which chooses per timefrequency (TF) tile either the enhanced target or a suppressed noisy version. The selection between the two is based on the input SNR per TF tile. In this paper we modify this method such that the selection mechanism is based on the output SNR. The proposed modification of deciding which TF tile is target-or
noise-dominated leads to choices, which are better aligned with simultaneous masking properties of the auditory system, and, hence, improves the performance over the initial version of the algorithm.