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. 2023 Sep 28;17:1200950. doi: 10.3389/fnhum.2023.1200950

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Copyright © 2023 Mandke, Flanagan, Macfarlane, Feltham, Gabrielczyk, Wilson, Gross and Goswami.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A) Depicts the entire processing pipeline involved in the speech envelope modulation enhancement algorithm. (B) Three edge onsets (marked by dotted lines) identified by the algorithm in both natural and EE speech conditions in a 7-s speech recording. The large peaks after the dashed line were identified by the algorithm. (C) Shows modulation spectrum of the entire story for the two conditions (NS and EME). The figure depicts EME as having higher modulation. NS, natural speech; EME, envelope modulation enhancement.