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

Authors

I Howard, School of Engineering, Computing and Mathematics

ORCID

• I Howard: 0000-0002-6041-9669

Publication Date

2023-03-30

Event

ESSV 2023 LMU Munich Germany

Publication Title

Host publication not specified in Elements

ISBN

9783959083034

Deposit Date

2023-09-17

Embargo Period

2023-09-21

Recommended Citation

Howard, I. (2023) 'Training a CNN to Estimate Voice Pathology from Connected Speech Using EGG to Automatically Label the Dataset for Voicing', Host publication not specified in Elements, . Retrieved from https://pearl.plymouth.ac.uk/secam-research/1389