GLOTTAL CLOSURE INSTANT DETECTION USING ECHO STATE NETWORKS
dc.contributor.author | Steiner, P | |
dc.contributor.author | Howard, Ian | |
dc.contributor.author | Birkholz, P | |
dc.date.accessioned | 2023-09-17T13:48:12Z | |
dc.date.available | 2023-09-17T13:48:12Z | |
dc.date.issued | 2021-03-31 | |
dc.identifier.isbn | 978-3-959082-27-3 | |
dc.identifier.uri | https://pearl.plymouth.ac.uk/handle/10026.1/21318 | |
dc.description.abstract |
The Time of Excitation (Tx) of speech, also widely known as the Glottal Closure Instants (GCI) denote the points in time at which the vocal folds close during the production of voiced speech. In this paper, we extend a previous approach based on a multilayer perceptron (MLP) using Echo State Networks (ESN), a variant of a Recurrent Neural Network (RNN). We show that the MLP and ESN approaches lead to similar results. The ESN model performed better than the MLP when the latter used only a single input sample (0.86 vs 0.75 area under the ROC plot), whereas the MLP slightly outperformed the ESN (0.98 vs 0.97 area under the ROC plot) when its was provided with a sufficient number of surrounding speech samples. | |
dc.title | GLOTTAL CLOSURE INSTANT DETECTION USING ECHO STATE NETWORKS | |
dc.type | conference | |
plymouth.publisher-url | https://www.essv.de/ | |
plymouth.conference-name | ESSV 2021 Berlin | |
plymouth.journal | Studientexte zur Sprachkommunikation Band 99: Elektronische Sprachsignalverarbeitung 2021 Conference proceedings of the 32st conference in Berlin with 41 contributions. ISBN: 978-3-959082-27-3 | |
plymouth.organisational-group | |Plymouth | |
plymouth.organisational-group | |Plymouth|Faculty of Science and Engineering | |
plymouth.organisational-group | |Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA | |
plymouth.organisational-group | |Plymouth|Users by role | |
plymouth.organisational-group | |Plymouth|Users by role|Academics | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA|UoA11 Computer Science and Informatics | |
dcterms.dateAccepted | 2021-03-31 | |
dc.date.updated | 2023-09-17T13:48:12Z | |
dc.rights.embargodate | 2023-9-21 | |
dc.rights.embargoperiod | forever |