TY - JOUR
T1 - Using open source automatic speech recognition for conceptual knowledge monitoring
AU - Lagatie, Ruben
AU - Wild, Fridolin
AU - De Causmaecker, Patrick
AU - Desmet, Piet
AU - Scott, Peter
N1 - Funding Information:
The authors wish to acknowledge the institute OTG grant from the MHRD and NNetra project funded by Meity and DST, Govt. of India , for financial support during the work.
PY - 2011
Y1 - 2011
N2 - Useful in many applications, text mining techniques offer the possibility to analyze texts and discover their semantic meaning. Unfortunately, most of these methods only work on textual data, but they are equally useful when dealing with spoken conversations. In this contribution we show how an open source and freely available Automatic Speech Recognition engine can be used out-of-the-box as a preprocessing step for keyword spotting by first transcribing spoken conversations. Can lower quality transcriptions still prove useful for keyword extraction?
AB - Useful in many applications, text mining techniques offer the possibility to analyze texts and discover their semantic meaning. Unfortunately, most of these methods only work on textual data, but they are equally useful when dealing with spoken conversations. In this contribution we show how an open source and freely available Automatic Speech Recognition engine can be used out-of-the-box as a preprocessing step for keyword spotting by first transcribing spoken conversations. Can lower quality transcriptions still prove useful for keyword extraction?
UR - http://www.scopus.com/inward/record.url?scp=84874005000&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84874005000
SN - 1568-7805
JO - Belgian/Netherlands Artificial Intelligence Conference
JF - Belgian/Netherlands Artificial Intelligence Conference
T2 - 23rd Benelux Conference on Artificial Intelligence, BNAIC 2011
Y2 - 3 November 2011 through 4 November 2011
ER -