Search results for "speech segmentation"

showing 3 items of 3 documents

Speech- and sound-segmentation in dyslexia: evidence for a multiple-level cortical impairment

2006

Developmental dyslexia involves deficits in the visual and auditory domains, but is primarily characterized by an inability to translate the written linguistic code to the sound structure. Recent research has shown that auditory dysfunctions in dyslexia might originate from impairments in early pre-attentive processes, which affect behavioral discrimination. Previous studies have shown that whereas dyslexic individuals are deficient in discriminating sound distinctions involving consonants or simple pitch changes, discrimination of other sound aspects, such as tone duration, is intact. We hypothesized that such contrasts that can be discriminated by dyslexic individuals when heard in isolat…

AdultMaleAuditory perceptionmedicine.medical_specialtySpeech perceptionAdolescentAudiologyElectroencephalographyAffect (psychology)050105 experimental psychologySpeech segmentationDyslexia03 medical and health sciencesCognitionDiscrimination Psychological0302 clinical medicineReaction Timeotorhinolaryngologic diseasesmedicineHumansAttention0501 psychology and cognitive sciencesCerebral Cortexmedicine.diagnostic_testGeneral Neuroscience05 social sciencesText segmentationDyslexiaElectroencephalographyCognitionmedicine.diseaseElectrophysiologyAcoustic StimulationData Interpretation StatisticalAuditory PerceptionSpeech PerceptionFemalePsychologyPsychomotor Performance030217 neurology & neurosurgeryEuropean Journal of Neuroscience
researchProduct

A Study of Perceptron Mapping Capability to Design Speech Event Detectors

2006

Event detection is a fundamental yet critical component in automatic speech recognition (ASR) systems that attempt to extract knowledge-based features at the front-end level. In this context, it is common practice to design the detectors inside well-known frameworks based on artificial neural network (ANN) or support vector machine (SVM). In the case of ANN, speech scientists often design their detector architecture relying on conventional feed-forward multi-layer perceptron (MLP) with sigmoidal activation function. The aim of this paper is to introduce other ANN architectures inside the context of detection-based ASR. In particular, a bank of feed-forward MLPs using sinusoidal activation f…

Artificial neural networkComputer scienceEvent (computing)business.industrySpeech recognitionComputer Science::Neural and Evolutionary ComputationContext (language use)Pattern recognitionspeech segmentationPerceptronSpeech segmentationSupport vector machineComputer Science::SoundSpeechDetection theoryArtificial intelligencerecognitionHidden Markov modelbusiness
researchProduct

Lexical and sublexical units in speech perception.

2009

Saffran, Newport, and Aslin (1996a) found that human infants are sensitive to statistical regularities corresponding to lexical units when hearing an artificial spoken language. Two sorts of segmentation strategies have been proposed to account for this early word-segmentation ability: bracketing strategies, in which infants are assumed to insert boundaries into continuous speech, and clustering strategies, in which infants are assumed to group certain speech sequences together into units (Swingley, 2005). In the present study, we test the predictions of two computational models instantiating each of these strategies i.e., Serial Recurrent Networks: Elman, 1990; and Parser: Perruchet & Vint…

Speech perceptionParsingbusiness.industryCognitive NeuroscienceSpeech recognitionText segmentationExperimental and Cognitive Psychologycomputer.software_genreLexiconSpeech segmentationArtificial Intelligence[SCCO.PSYC]Cognitive science/PsychologyLexicoArtificial intelligenceCluster analysisPsychologybusinesscomputerNatural language processingComputingMilieux_MISCELLANEOUScomputer.programming_languageSpoken languageCognitive science
researchProduct