A novel approach to perform context‐based automatic spoken document retrieval of political speeches based on wavelet tree indexing

2021 ◽  
Author(s):  
Anishka Gupta ◽  
Divakar Yadav
Keyword(s):  
Document Retrieval ◽  
Spoken Document Retrieval ◽  
Novel Approach ◽  
Political Speeches

scholarly journals SYLLABLE-BASED CHINESE TEXT/SPOKEN DOCUMENT RETRIEVAL USING TEXT/SPEECH QUERIES

2000 ◽  
Vol 14 (05) ◽  
pp. 603-616 ◽  
Author(s):  
BO-REN BAI ◽  
BERLIN CHEN ◽  
HSIN-MIN WANG
Keyword(s):  
Chinese Text ◽  
Chinese Language ◽  
Document Retrieval ◽  
Prototype System ◽  
Test Results ◽  
Spoken Document Retrieval ◽  
Novel Approach ◽  
Statistical Similarity ◽  
User Friendly ◽  
Spoken Documents

In light of the rapid growth of Chinese information resources on the Internet, this study investigates a novel approach that deals with the problem of Chinese text and spoken document retrieval using both text and speech queries. By properly utilizing the monosyllabic structure of the Chinese language, the proposed approach estimates the statistical similarity between the text/speech queries and the text/spoken documents at the phonetic level using the syllable-based statistical information. The investigation successfully implemented a prototype system with an interface supporting some user-friendly functions and the initial test results demonstrate the feasibility of the proposed approach.

Open-vocabulary spoken-document retrieval based on query expansion using related web documents

2008 ◽  
Author(s):  
Makoto Terao ◽  
Takafumi Koshinaka ◽  
Shinichi Ando ◽  
Ryosuke Isotani ◽  
Akitoshi Okumura
Keyword(s):  
Query Expansion ◽  
Document Retrieval ◽  
Spoken Document Retrieval ◽  
Web Documents

Phonetic confusion based document expansion for spoken document retrieval

2004 ◽  
Author(s):  
Nicolas Moreau ◽  
Hyoung-Gook Kim ◽  
Thomas Sikora
Keyword(s):  
Document Retrieval ◽  
Spoken Document Retrieval
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