Training a CNN to Estimate Voice Pathology from Connected Speech Using EGG to Automatically Label the Dataset for Voicing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

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Original language	English
Title of host publication	Host publication not specified in Elements
Publication status	Published - 30 Mar 2023
Event	ESSV 2023 LMU Munich Germany - Duration: 1 Mar 2023 → 3 Mar 2023

Conference	ESSV 2023 LMU Munich Germany
Period	1/03/23 → 3/03/23

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@inproceedings{ebf92c67758f4ffe8d912c28cadd772b,

title = "Training a CNN to Estimate Voice Pathology from Connected Speech Using EGG to Automatically Label the Dataset for Voicing",

author = "I Howard",

year = "2023",

month = mar,

day = "30",

language = "English",

isbn = "9783959083034",

booktitle = "Host publication not specified in Elements",

note = "ESSV 2023 LMU Munich Germany ; Conference date: 01-03-2023 Through 03-03-2023",

}

TY - GEN

T1 - Training a CNN to Estimate Voice Pathology from Connected Speech Using EGG to Automatically Label the Dataset for Voicing

AU - Howard, I

PY - 2023/3/30

Y1 - 2023/3/30

UR - https://pearl.plymouth.ac.uk/secam-research/1389/

M3 - Conference proceedings published in a book

SN - 9783959083034

BT - Host publication not specified in Elements

T2 - ESSV 2023 LMU Munich Germany

Y2 - 1 March 2023 through 3 March 2023

ER -