A hierarchical evaluation methodology in speech recognition

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...

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Bibliographic Details
Main Authors: Gosztolya Gábor
Kocsor András
Corporate Author: Conference for PhD Students in Computer Science (4.) (2004) (Szeged)
Format: Article
Published: 2005
Series:Acta cybernetica 17 No. 2
Kulcsszavak:Számítástechnika, Nyelvészet - számítógép alkalmazása
Subjects:
Online Access:http://acta.bibl.u-szeged.hu/12763
Description
Summary: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.
Physical Description:213-224
ISSN:0324-721X