Literature DB >> 27080648

Intelligibility for Binaural Speech with Discarded Low-SNR Speech Components.

Esther Schoenmaker1, Steven van de Par2.   

Abstract

Speech intelligibility in multitalker settings improves when the target speaker is spatially separated from the interfering speakers. A factor that may contribute to this improvement is the improved detectability of target-speech components due to binaural interaction in analogy to the Binaural Masking Level Difference (BMLD). This would allow listeners to hear target speech components within specific time-frequency intervals that have a negative SNR, similar to the improvement in the detectability of a tone in noise when these contain disparate interaural difference cues. To investigate whether these negative-SNR target-speech components indeed contribute to speech intelligibility, a stimulus manipulation was performed where all target components were removed when local SNRs were smaller than a certain criterion value. It can be expected that for sufficiently high criterion values target speech components will be removed that do contribute to speech intelligibility. For spatially separated speakers, assuming that a BMLD-like detection advantage contributes to intelligibility, degradation in intelligibility is expected already at criterion values below 0 dB SNR. However, for collocated speakers it is expected that higher criterion values can be applied without impairing speech intelligibility. Results show that degradation of intelligibility for separated speakers is only seen for criterion values of 0 dB and above, indicating a negligible contribution of a BMLD-like detection advantage in multitalker settings. These results show that the spatial benefit is related to a spatial separation of speech components at positive local SNRs rather than to a BMLD-like detection improvement for speech components at negative local SNRs.

Entities:  

Keywords:  Binaural detection; Binaural listening; Binaural masking level differences; Masking; Masking release; Multitalker situation; Spatial unmasking; Speech intelligibility; Speech interferers; Speech segregation

Mesh:

Year:  2016        PMID: 27080648     DOI: 10.1007/978-3-319-25474-6_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

1.  Making sense of periodicity glimpses in a prediction-update-loop-A computational model of attentive voice tracking.

Authors:  Joanna Luberadzka; Hendrik Kayser; Volker Hohmann
Journal:  J Acoust Soc Am       Date:  2022-02       Impact factor: 2.482

2.  A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments.

Authors:  Jing Mi; H Steven Colburn
Journal:  Trends Hear       Date:  2016-10-03       Impact factor: 3.293

  2 in total

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