Shore, Todd and Faubel, Friedrich and Helmke, Hartmut and Klakow, Dietrich (2012) Knowledge-BasedWord Lattice Rescoring in a Dynamic Context. InterSpeech 2012, 09.09.-13.09.2012, Portland, Oregon USA.
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Recent advances in automatic speech recognition (ASR) technology continue to be based heavily on data-driven methods, meaning that the full benefits of such research are often not enjoyed in domains for which there is little training data. Moreover, tractability is often an issue with these methods when conditioning for long-distance dependencies, entailing that many higher-level knowledge sources such as situational knowledge cannot be easily utilized in classification. This paper describes an effort to circumvent this problem by using dynamic contextual knowledge to rescore ASR lattice output using a dynamic weighted constraint satisfaction function. With this method, it was possible to achieve a roughly 80% reduction in WER for ASR in the context of an air traffic control scenario.
|Document Type:||Conference or Workshop Item (Paper)|
|Title:||Knowledge-BasedWord Lattice Rescoring in a Dynamic Context|
|In ISI Web of Science:||No|
|Keywords:||lattice rescoring, knowledge-based, contextsensitivity|
|Event Title:||InterSpeech 2012|
|Event Location:||Portland, Oregon USA|
|Event Type:||international Conference|
|Organizer:||Center for Spoken Language Understanding, under the sponsorship of the International Speech Communication Association (ISCA)|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||ATM and Operation|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L AO - Air Traffic Management and Operation|
|DLR - Research theme (Project):||L - Effiziente Flugführung und Flugbetrieb (old)|
|Institutes and Institutions:||Institute of Flight Control > Controller Assistance|
|Deposited By:||Kerstin Diederich|
|Deposited On:||02 Jul 2012 10:51|
|Last Modified:||02 Apr 2013 14:05|
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