A hierarchical evaluation methodology in speech recognition

Gosztolya Gábor and Kocsor András: A hierarchical evaluation methodology in speech recognition. In: Acta cybernetica, (17) 2. pp. 213-224. (2005)

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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

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