A continuous-speech interface to a decision-support system: i. techniques to accommodate for misrecognized input

From Semantic Portal Wiki

Jump to: navigation, search

{{#vardefine:category|Publication}}{{#vardefine:templatename|i.publication}}{{#vardefine:package|smwbp_instance_templates}}

Edit

Reference: {{#vardefine:pagename|a continuous-speech interface to a decision-support system: i. techniques to accommodate for misrecognized input }}

  1. [[]]

bibtex

{{#vardefine:pagename|A continuous-speech interface to a decision-support system: i. techniques to accommodate for misrecognized input }}{{#vardefine:key| }}

abstract: Our objective was to build a speech interface for use with a medicaldecision-support application. We used a commercially available speech-recognitionsystem to obtain textual representations of input utterances and we generatedgrammars to supply the anticipated utterances for the recognition system. Wedesigned the interface to identify controlledvocabulary terms from grammatical and ungrammatical textual transcriptions ofutterances. Our method included two steps: translation of the controlledvocabulary terms and textual representations of input utterances into keyword-based canonical forms, and matching canonical forms of input utterances tocanonical forms of the controlled vocabulary terms. Evaluation of the speechinterface indicated that this matching approach increased the identificationof terms from misrecognized utterances.

download:

  • paper:
  • slides:
Facts about A continuous-speech interface to a decision-support system: i. techniques to accommodate for misrecognized inputRDF feed
AbstractOur objective was to build a speech interf Our objective was to build a speech interface for use with a medicaldecision-support application. We used a commercially available speech-recognitionsystem to obtain textual representations of input utterances and we generatedgrammars to supply the anticipated utterances for the recognition system. Wedesigned the interface to identify controlledvocabulary terms from grammatical and ungrammatical textual transcriptions ofutterances. Our method included two steps: translation of the controlledvocabulary terms and textual representations of input utterances into keyword-based canonical forms, and matching canonical forms of input utterances tocanonical forms of the controlled vocabulary terms. Evaluation of the speechinterface indicated that this matching approach increased the identificationof terms from misrecognized utterances. ionof terms from misrecognized utterances.
AuthorSmadar Shiffman  +, William M. Detmer  +, Christopher D. Lane  +, and Lawrence M. Fagan  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-94-45  +
NoteUpdated February 1995.  +
NumberKSL-94-45  +
TagComputer science  +
TitleA Continuous-Speech Interface to a Decision-Support System: I. Techniques to Accommodate for Misrecognized Input  +
Tr idKSL-94-45  +
Year1994  +
Personal tools
Semantic Web Community
Tetherless World constellation
maintenance