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20162026
most citedAn evaluation of intrusive instrumental intelligibility metrics

60 citations · 251 across the 17 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.SD2017★ 1 cited

Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks

Jie Zhang, Richard Heusdens, Richard C. Hendriks

In wireless acoustic sensor networks (WASNs), sensors typically have a limited energy budget as they are often battery driven. Energy efficiency is therefore essential to the desig…

eess.SP2017★ 36 cited

A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology

Andreas I. Koutrouvelis, Thomas W. Sherson, Richard Heusdens +1

We propose a new robust distributed linearly constrained beamformer which utilizes a set of linear equality constraints to reduce the cross power spectral density matrix to a block…

cs.SD2017★ 60 cited

An evaluation of intrusive instrumental intelligibility metrics

Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks

Instrumental intelligibility metrics are commonly used as an alternative to listening tests. This paper evaluates 12 monaural intrusive intelligibility metrics: SII, HEGP, CSII, HA…

cs.SD2017★ 46 cited

An instrumental intelligibility metric based on information theory

Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks

We propose a monaural intrusive instrumental intelligibility metric called speech intelligibility in bits (SIIB). SIIB is an estimate of the amount of information shared between a…

cs.SD2017★ 1 cited

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Jie Zhang, Sundeep Prabhakar Chepuri, Richard C. Hendriks +1

In large-scale wireless acoustic sensor networks (WASNs), many of the sensors will only have a marginal contribution to a certain estimation task. Involving all sensors increases t…