scholarly journals Spoken Document Retrieval Based on Confusion Network with Syllable Fragments

10.5772/52454 ◽  
2012 ◽  
Vol 9 (5) ◽  
pp. 164
Author(s):  
Zhang Lei ◽  
Yoshihiko Gotoh ◽  
Muhammad Usman Ghani Khan
Keyword(s):  
Document Retrieval ◽  
Spoken Document Retrieval ◽  
Confusion Network

Different Evaluation Approaches of Confusion Network in Chinese Spoken Classification

2010 ◽  
Vol 142 ◽  
pp. 174-179
Author(s):  
Lei Zhang ◽  
Jing Xin Chang ◽  
Xue Zhi Xiang
Keyword(s):  
Speech Recognition ◽  
Clustering Algorithm ◽  
Recognition System ◽  
Document Retrieval ◽  
Document Classification ◽  
Speech Recognition System ◽  
Spoken Document Retrieval ◽  
Evaluation Approaches ◽  
Confusion Network

As kind of multiple results in speech recognition system, lattice and confusion network are widely applied in spoken document classification and spoken document retrieval. In this paper, the relation between lattice and confusion network is analyzed firstly. Then based on the confusion network by clustering algorithm, different evaluation approaches are applied here to test the performance of confusion network, which include accuracy, complexity and distortion of confusion network. For the experiments on speech recognition system, it can be drawn that compared with 1-best result, confusion network can have higher words accuracy.

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
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