Gosztolya Gábor and Kocsor András: A hierarchical evaluation methodology in speech recognition. In: Acta cybernetica, (17) 2. pp. 213-224. (2005)
Preview |
Cikk, tanulmány, mű
Gosztolya_2005_ActaCybernetica.pdf Download (179kB) | Preview |
Abstract
In speech recognition vast hypothesis spaces are generated, so the search methods used and their speedup techniques are both of great importance. One way of getting a speedup gain is to search in multiple steps. In this multipass search technique the first steps use only a rough estimate, while the latter steps apply the results of the previous ones. To construct these raw tests we use simplified phoneme groups which are based on some distance function defined over phonemes. The tests we performed show that this technique could significantly speed up the recognition process.
Item Type: | Article |
---|---|
Journal or Publication Title: | Acta cybernetica |
Date: | 2005 |
Volume: | 17 |
Number: | 2 |
ISSN: | 0324-721X |
Page Range: | pp. 213-224 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Conference for PhD Students in Computer Science (4.) (2004) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/38520/ |
Uncontrolled Keywords: | Számítástechnika, Nyelvészet - számítógép alkalmazása |
Additional Information: | Bibliogr.: 222. p. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences 06. Humanities 06. Humanities > 06.02. Languages and Literature |
Date Deposited: | 2016. Oct. 15. 12:25 |
Last Modified: | 2022. Jun. 15. 11:46 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12763 |
Actions (login required)
![]() |
View Item |