Matches in SemOpenAlex for { <https://semopenalex.org/work/W155497> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W155497 endingPage "84" @default.
- W155497 startingPage "75" @default.
- W155497 abstract "Training the ac oustic models for automatic speech recognition (ASR) as well as the similarity between the training corpus and the recognition task have a major influence on the performance of a speech recogniser. The more similar the two sets are, the better the performance of the speech recogniser will be. When the recognition task consists of city names, this implies that the training corpus must consist of city names only. This causes problems, especially in the Netherlands, because there a re not enough speech d ata available of the smaller cities or villages to satisfy the need for rare phonemes. The usual alternative in such a case is training acoustic models with a speech corpus consisting of phonetically rich sentences. The disadvantage is that these sentences are spoken in a 'read aloud' speech style, while the intended recognition task consists of spontaneous speech. This causes a great decrease in p erformance. Adding (sur)names, street names and application words only adds a small number of rare phonemes to the training data. Fewer speech data are generally a performance-decreasing factor in speech recognition. On the other hand the greater similarity with the recognition task is a performance-increasing factor. In this research the subject of investigation was whether this latter f actor would outweigh the former one in this specific task. This appeared to be the case. This research was done during an intern at KPN Research in Leidschendam, the Netherlands. This intern was part of the master's graduation p roject of the first author of this paper. The report about this project was also his master thesis (Salomons, 2000)." @default.
- W155497 created "2016-06-24" @default.
- W155497 creator A5084311631 @default.
- W155497 creator A5090707275 @default.
- W155497 date "2001-01-01" @default.
- W155497 modified "2023-09-24" @default.
- W155497 title "Alternatives in training acoustic models for the automatic recognition of spoken city names" @default.
- W155497 cites W1504344060 @default.
- W155497 cites W1988506022 @default.
- W155497 cites W2401575786 @default.
- W155497 hasPublicationYear "2001" @default.
- W155497 type Work @default.
- W155497 sameAs 155497 @default.
- W155497 citedByCount "0" @default.
- W155497 crossrefType "journal-article" @default.
- W155497 hasAuthorship W155497A5084311631 @default.
- W155497 hasAuthorship W155497A5090707275 @default.
- W155497 hasConcept C103278499 @default.
- W155497 hasConcept C115961682 @default.
- W155497 hasConcept C138885662 @default.
- W155497 hasConcept C154945302 @default.
- W155497 hasConcept C162324750 @default.
- W155497 hasConcept C166957645 @default.
- W155497 hasConcept C187736073 @default.
- W155497 hasConcept C204321447 @default.
- W155497 hasConcept C23224414 @default.
- W155497 hasConcept C2776445246 @default.
- W155497 hasConcept C2780451532 @default.
- W155497 hasConcept C28490314 @default.
- W155497 hasConcept C41008148 @default.
- W155497 hasConcept C41895202 @default.
- W155497 hasConcept C95457728 @default.
- W155497 hasConceptScore W155497C103278499 @default.
- W155497 hasConceptScore W155497C115961682 @default.
- W155497 hasConceptScore W155497C138885662 @default.
- W155497 hasConceptScore W155497C154945302 @default.
- W155497 hasConceptScore W155497C162324750 @default.
- W155497 hasConceptScore W155497C166957645 @default.
- W155497 hasConceptScore W155497C187736073 @default.
- W155497 hasConceptScore W155497C204321447 @default.
- W155497 hasConceptScore W155497C23224414 @default.
- W155497 hasConceptScore W155497C2776445246 @default.
- W155497 hasConceptScore W155497C2780451532 @default.
- W155497 hasConceptScore W155497C28490314 @default.
- W155497 hasConceptScore W155497C41008148 @default.
- W155497 hasConceptScore W155497C41895202 @default.
- W155497 hasConceptScore W155497C95457728 @default.
- W155497 hasLocation W1554971 @default.
- W155497 hasOpenAccess W155497 @default.
- W155497 hasPrimaryLocation W1554971 @default.
- W155497 hasRelatedWork W1493946344 @default.
- W155497 hasRelatedWork W1534686340 @default.
- W155497 hasRelatedWork W1556750318 @default.
- W155497 hasRelatedWork W1592761000 @default.
- W155497 hasRelatedWork W1603751719 @default.
- W155497 hasRelatedWork W188308949 @default.
- W155497 hasRelatedWork W2039562357 @default.
- W155497 hasRelatedWork W2045038459 @default.
- W155497 hasRelatedWork W2052844563 @default.
- W155497 hasRelatedWork W2053589910 @default.
- W155497 hasRelatedWork W2070214164 @default.
- W155497 hasRelatedWork W2101160718 @default.
- W155497 hasRelatedWork W2135890270 @default.
- W155497 hasRelatedWork W2152439927 @default.
- W155497 hasRelatedWork W2251874481 @default.
- W155497 hasRelatedWork W2272264323 @default.
- W155497 hasRelatedWork W2340053531 @default.
- W155497 hasRelatedWork W2485167687 @default.
- W155497 hasRelatedWork W2567259876 @default.
- W155497 hasRelatedWork W2610844179 @default.
- W155497 isParatext "false" @default.
- W155497 isRetracted "false" @default.
- W155497 magId "155497" @default.
- W155497 workType "article" @default.