1992 · 25 citations · 4 references
EngineeringNeural NetworkWord ExamplesSpoken Language ProcessingRecurrent Neural NetworkCorpus LinguisticsLanguage ProcessingSpeech RecognitionNatural Language ProcessingComputational LinguisticsHybrid WordspotterLanguage StudiesLanguage ModelsKeyword SpottingReal-time LanguageSpoken Language UnderstandingMachine TranslationLanguage TechnologyComputer ScienceDeep LearningSpeech AcquisitionSpeech CommunicationLanguage RecognitionSpeech ProcessingLinguistics
The authors present a neural network which is trained on word examples to perform the wordspotting task. This network has multiple recurrent connections with time delay to account for temporal dynamics. A single network may be trained to recognize one word or many words. A hybrid wordspotter is evaluated in which a conventional wordspotter (based on dynamic time warping word matching) is used to screen incoming speech for potential keywords which are then passed to the network for the final accept/reject decision. Initial tests on a standard wordspotting test corpora resulted in improved keyword recognition at false alarm rates above zero.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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