Using open source automatic speech recognition for conceptual knowledge monitoring

Ruben Lagatie; Fridolin Wild; Patrick De Causmaecker; Piet Desmet; Peter Scott

Using open source automatic speech recognition for conceptual knowledge monitoring

Ruben Lagatie
, Fridolin Wild
, Patrick De Causmaecker
, Piet Desmet
, Peter Scott

KU Leuven
Open University Milton Keynes

Research output: Contribution to journal › Conference article › peer-review

Abstract

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?

Original language	English
Journal	Belgian/Netherlands Artificial Intelligence Conference
Publication status	Published - 2011
Event	23rd Benelux Conference on Artificial Intelligence, BNAIC 2011 - Ghent, Belgium Duration: 3 Nov. 2011 → 4 Nov. 2011

Cite this

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title = "Using open source automatic speech recognition for conceptual knowledge monitoring",

abstract = "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?",

author = "Ruben Lagatie and Fridolin Wild and \{De Causmaecker\}, Patrick and Piet Desmet and Peter Scott",

note = "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.; 23rd Benelux Conference on Artificial Intelligence, BNAIC 2011 ; Conference date: 03-11-2011 Through 04-11-2011",

year = "2011",

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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 - https://www.scopus.com/pages/publications/84874005000

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 -

Using open source automatic speech recognition for conceptual knowledge monitoring

Abstract

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