Impact of phonetic annotation precision on automatic speech recognition systems
dc.contributor.author | Šafařík Radek | cs |
dc.contributor.author | Matějů Lukáš | cs |
dc.date.accessioned | 2018-09-25T11:47:19Z | |
dc.date.available | 2018-09-25T11:47:19Z | |
dc.date.issued | 2016 | cs |
dc.format.extent | 4 | cs |
dc.identifier.doi | 10.1109/TSP.2016.7760886 | |
dc.identifier.isbn | 978-1-5090-1287-9 | cs |
dc.identifier.issn | 1805-5435 | cs |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/27167 | |
dc.language.iso | eng | cs |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | cs |
dc.publisher.city | Rakousko, Vídeň | cs |
dc.relation.ispartofseries | 0 | cs |
dc.subject | speech recognition | cs |
dc.subject | gaussian mixture model | cs |
dc.subject | deep neural network | cs |
dc.subject | phonetic annotation | cs |
dc.subject | acoustic model | cs |
dc.title | Impact of phonetic annotation precision on automatic speech recognition systems | cs |
local.citation.epage | 311-314 | cs |
local.citation.spage | 311-314 | cs |
local.identifier.publikace | 466 | |
local.identifier.wok | 000390164000067 | en |