Digital Library

cab1

 
Title:      A QUALITATIVE STUDY TOWARDS USING LARGE VOCABULARY AUTOMATIC SPEECH RECOGNITION TO INDEX RECORDED PRESENTATIONS FOR SEARCH AND ACCESS OVER THE WEB
Author(s):      Wolfgang Hürst
ISBN:      ISSN: 1645-7641
Editors:      Pedro Isaías
Year:      2003
Edition:      V I, 1
Keywords:      Audio Retrieval, Speech Recognition, Web-Search, E-Learning, Empirical Study.
Type:      Journal Paper
First Page:      43
Last Page:      58
Language:      English
Cover:      no-img_eng.gif          
Full Contents:      click to dowload Download
Paper Abstract:      Recording lectures and putting them on the Web for access by students has become a general trend at various universities. To take full gain of the knowledge database that is built by these documents elaborate search functionality has to be provided that goes beyond search on meta-data level but performs a detailed analysis of the corresponding multimedia documents. In this paper, we present some experiments we did towards setting up a Web-based search engine for audio recordings of presentations. We evaluate standard, state-of-the-art speech recognition software as well as achievable retrieval performance. In addition, we compare the speech retrieval results with a traditional, text -based approach for searching to evaluate the value of speech processing for lecture retrieval.
   

Social Media Links

Search

Login