Syllable RecognitionNeural Network-based MethodsNeural Networks (Machine Learning)NeurolinguisticsSpeech ArticulationInput RepresentationsPhonologyRecurrent Neural NetworkAcoustic ModelingSpeech RecognitionPhoneticsLanguage StudiesAcoustic AnalysisHealth SciencesCognitive ScienceLanguage NetworkNeural Networks (Computational Neuroscience)Speech AcousticSpeech AcquisitionSpeech CommunicationSpeech TechnologySpeech AcousticsLanguage RecognitionSpeech ProcessingSpeech InputAuditory ComputationSpeech PerceptionNetwork ArchitectureLinguistics
Methods of applying neural network-based methods to the perception of speech sounds are developed and examined. The authors briefly outline the network architecture and algorithms that they have found useful in implementing a consonant-vowel syllable recognizer. They review in detail the input representations used and present some simulations comparing the performance of their system with the different input representation combinations.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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