Search results for "speech recognition"

showing 10 items of 357 documents

2021

In vowel discrimination, commonly found discrimination patterns are directional asymmetries where discrimination is faster (or easier) if differing vowels are presented in a certain sequence compared to the reversed sequence. Different models of speech sound processing try to account for these asymmetries based on either phonetic or phonological properties. In this study, we tested and compared two of those often-discussed models, namely the Featurally Underspecified Lexicon (FUL) model (Lahiri and Reetz, 2002) and the Natural Referent Vowel (NRV) framework (Polka and Bohn, 2011). While most studies presented isolated vowels, we investigated a large stimulus set of German vowels in a more n…

media_common.quotation_subjectSpeech recognition05 social sciencesMismatch negativityLexicon050105 experimental psychologyLoudness03 medical and health sciencesBehavioral NeurosciencePsychiatry and Mental health0302 clinical medicineNeuropsychology and Physiological PsychologyFormantNeurologyVowelPerception0501 psychology and cognitive sciencesPsychologySet (psychology)Oddball paradigm030217 neurology & neurosurgeryBiological Psychiatrymedia_commonFrontiers in Human Neuroscience
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Does "whole-word shape" play a role in visual word recognition?

2002

To analyze the impact of outline shape on visual word recognition, the visual pattern of the stimuli can be distorted by size alternation. Contrary to the predictions of models that rely on outline shape (Allen, Wallace, & Weber, 1995), the effect of size alternationwas greater for low-frequency words than for high-frequency words in a lexical decision task (Experiment 1). In Experiment 2, the effect of case type (lowercase vs. UPPERCASE) occurred for low-frequency words, but not for high-frequency words. The effect of neighborhood size was remarkably similar in the two experiments. The results can be readily explained in the framework of a resonance model (Grossberg & Stone, 1986), in whic…

media_common.quotation_subjectSpeech recognitionExperimental and Cognitive PsychologyRecognition PsychologyVocabularySensory SystemsWord lists by frequencyPerceptionReading (process)Code (cryptography)Lexical decision taskVisual PerceptionAlternation (formal language theory)HumansAttentionPerceptPsychologyGeneral PsychologyWord (group theory)media_commonCognitive psychologyPerceptionpsychophysics
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A role for backward transitional probabilities in word segmentation?

2008

A number of studies have shown that people exploit transitional probabilities between successive syllables to segment a stream of artificial continuous speech into words. It is often assumed that what is actually exploited are the forward transitional probabilities (given XY, the probability that X will be followed by Y ), even though the backward transitional probabilities (the probability that Y has been preceded by X) were equally informative about word structure in the languages involved in those studies. In two experiments, we showed that participants were able to learn the words from an artificial speech stream when the only available cues were the backward transitional probabilities.…

media_common.quotation_subjectSpeech recognitionExperimental and Cognitive Psychologycomputer.software_genreArts and Humanities (miscellaneous)Simple (abstract algebra)PhoneticsPerceptionHumansSegmentationAttentionmedia_commonCommunicationParsingbusiness.industryText segmentationLinguisticsMutual informationSemanticsConstructed languageNeuropsychology and Physiological PsychologySpeech PerceptionCuesProbability LearningPsychologybusinesscomputerWord (computer architecture)Memorycognition
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Editorial: Breakthrough BCI Applications in Medicine

2020

medicine.diagnostic_testComputer scienceGeneral NeuroscienceSpeech recognitionElectroencephalographyclinical applicationslcsh:RC321-571EditorialMotor imagerymotor imagerymedicineEEGBCIP300lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceBrain–computer interfaceFrontiers in Neuroscience
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Beyond the word and image: III. Neurodynamic properties of the semantic network

2019

AbstractUnderstanding the neural process underlying the comprehension of visual images and sentences remains a major open challenge in cognitive neuroscience. We previously demonstrated with fMRI and DTI that comprehension of visual images and sentences describing human activities recruits a common semantic system. The current research tests the hypothesis that this common semantic system will display similar neural dynamics during processing in these two modalities. To investigate these neural dynamics we recorded EEG from naïve subjects as they saw simple narratives made up of a first visual image depicting a human event, followed by a second that was either a sequentially coherent narrat…

medicine.diagnostic_testComputer scienceSpeech recognition05 social sciencesImage processingElectroencephalographyCognitive neuroscience050105 experimental psychologySemantic network03 medical and health sciences0302 clinical medicinemedicineSemantic memory0501 psychology and cognitive sciences030217 neurology & neurosurgerySentence
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Epilepsy stages diagnosis by Gabor atom density according to their aspect ratio

2008

During epilepsy seizure Electrocorticogram (ECoG) may change dramatically from a nearly chaotic signal (basal state) into a highly synchronized signal during a seizure, characterized by high amplitude and low frequency, and suddenly go back to the basal sate, making hard to identify them from time series. The epileptic seizure shows some stages as it is evolving, the here studied are: basal, preictal, ictal and posictal. As most of the bioelectrical signal, ECoG is a highly non periodical signal, so the most suitable techniques to analyze them are the Time-Frequency algorithms (T-F), allowing to follow up its frequency evolution through the seizure. Each seizure stage has a set of frequency…

medicine.diagnostic_testComputer scienceSpeech recognitionGabor atomElectroencephalographyNeurophysiologymedicine.diseaseTime–frequency analysisEpilepsymedicineIctalEpileptic seizuremedicine.symptomKindling model2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control
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Bioelectric model of atrial fibrillation: Applicability of blind source separation techniques for atrial activity estimation in atrial fibrillation e…

2003

In this contribution, we present the theoretical justification that give support to the suitability of blind signal separation (BSS) techniques for the estimation of the atrial activity (AA) present in ECGs of persistent atrial fibrillation (AF). The application of BSS methods to this problem needs the fulfillment of several conditions regarding AA, ventricular activity (VA) and the fashion in which both activities arise on the body surface, that will be justified along the paper. To empirically validate the model, an ICA method is applied to 10 real 12-lead recordings of AF. The identification of AA is put forward based on kurtosis and spectral analysis. The kurtosis value of the estimated…

medicine.diagnostic_testComputer scienceSpeech recognitionPersistent atrial fibrillationKurtosismedicineSpectral analysisAtrial fibrillationmedicine.diseaseElectrocardiographyBlind signal separationAlgorithm
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Information-theoretic assessment of cardiovascular-brain networks during sleep

2015

This study was aimed at detecting the structure of the physiological network underlying the regulation of the cardiovascular and brain systems during normal sleep. To this end, we measured from the polysomnographic recordings of 10 healthy subjects the normalized spectral power of heart rate variability in the high frequency band (HF) and the EEG power in the δ, θ, α, σ, and β bands. Then, the causal statistical dependencies within and between these six time series were assessed in terms of internal information (conditional self entropy, CSE) and information transfer (transfer entropy, TE) computed via a linear method exploiting multiple regression models and a nonlinear method combining ne…

medicine.diagnostic_testComputer sciencebusiness.industrySpeech recognitionDimensionality reductionPattern recognitionElectroencephalographyEntropy estimationNonlinear systemLinear regressionComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineHeart rate variabilityEntropy (information theory)Transfer entropyArtificial intelligencebusinessCardiology and Cardiovascular Medicine
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Truncation effects on muscular fatigue indexes based on M waves analysis

2012

International audience; In this paper, we investigate muscular fatigue. We propose a new fatigue index based on the continuous wavelet transform (CWT) and compare it with the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction (ES). The stimulator and electromyogram system, which were presented in a previous work, allows real-time analysis. The extracted fatigue parameters are compared between each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustness of the index obtained using CWT.

medicine.diagnostic_testElectromyographyAcousticsSpeech recognition0206 medical engineering02 engineering and technologyElectromyography020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics03 medical and health sciences0302 clinical medicineMuscular fatigueMuscle FatiguemedicineHumans030217 neurology & neurosurgeryContinuous wavelet transformMathematics
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Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions

2014

International audience; In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (I CWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.

medicine.diagnostic_testMuscle fatigueSpeech recognitionMulti axis0206 medical engineeringMathematical analysis02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing020601 biomedical engineering[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEuclidean distance03 medical and health sciences0302 clinical medicineAmplitudeMuscular fatiguemedicineRepresentation (mathematics)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryContinuous wavelet transform[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematics
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