Literature DB >> 25234888

A model that predicts the binaural advantage to speech intelligibility from the mixed target and interferer signals.

Stefano Cosentino1, Torsten Marquardt1, David McAlpine1, John F Culling2, Tiago H Falk3.   

Abstract

A model is presented that predicts the binaural advantage to speech intelligibility by analyzing the right and left recordings at the two ears containing mixed target and interferer signals. This auditory-inspired model implements an equalization-cancellation stage to predict the binaural unmasking (BU) component, in conjunction with a modulation-frequency estimation block to estimate the "better ear" effect (BE) component of the binaural advantage. The model's performance was compared to experimental data obtained under anechoic and reverberant conditions using a single speech-shaped noise interferer paradigm. The internal BU and BE components were compared to those of the speech intelligibility model recently proposed by Lavandier et al. [J. Acoust. Soc. Am. 131, 218-231 (2012)], which requires separate inputs for target and interferer. The data indicate that the proposed model provides comparably good predictions from a mixed-signals input under both anechoic and reverberant conditions.

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Year:  2014        PMID: 25234888     DOI: 10.1121/1.4861239

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  4 in total

1.  Spatial release from masking based on binaural processing for up to six maskers.

Authors:  William A Yost
Journal:  J Acoust Soc Am       Date:  2017-03       Impact factor: 1.840

2.  Binaural Recordings in Natural Acoustic Environments: Estimates of Speech-Likeness and Interaural Parameters.

Authors:  S Theo Goverts; H Steven Colburn
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

3.  Modeling Binaural Unmasking of Speech Using a Blind Binaural Processing Stage.

Authors:  Christopher F Hauth; Simon C Berning; Birger Kollmeier; Thomas Brand
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

4.  Harmonic Cancellation-A Fundamental of Auditory Scene Analysis.

Authors:  Alain de Cheveigné
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

  4 in total

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