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Let's all speak together! Exploring the masking effects of various languages on spoken word identification in multi-linguistic babble.
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-00904135 ; PLoS ONE, Public Library of Science, 2013, 8 (6), pp.e65668. ⟨10.1371/journal.pone.0065668⟩ (2013)
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Let's All Speak Together! Exploring the Masking Effects of Various Languages on Spoken Word Identification in Multi-Linguistic Babble
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01247762 ; PLoS ONE, Public Library of Science, 2013, ⟨10.1371/journal.pone.0065668⟩ (2013)
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This and that in native and learner English: From typology of use to tagset characterisation
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In: Twenty years of learner research: looking back, moving ahead Proceedings of the First Learner Corpus Research Conference (LCR 2011) ; https://hal.archives-ouvertes.fr/hal-01171279 ; Granger Sylviane; Gilquin Gaëtanelle; Meunier Fanny. Twenty years of learner research: looking back, moving ahead Proceedings of the First Learner Corpus Research Conference (LCR 2011), Presses Universitaires de Louvain, 2013 (2013)
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Speech Recognition in Natural Background Noise
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01247754 ; PLoS ONE, Public Library of Science, 2013, ⟨10.1371/journal.pone.0079279⟩ (2013)
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Gray and White Matter Distribution in Dyslexia: A VBM Study of Superior Temporal Gyrus Asymmetry
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01247752 ; PLoS ONE, Public Library of Science, 2013, ⟨10.1371/journal.pone.0076823⟩ (2013)
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Using auditory classification images for the identification of fine acoustic cues used in speech perception
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In: ISSN: 1662-5161 ; Frontiers in Human Neuroscience ; https://hal.archives-ouvertes.fr/hal-01247748 ; Frontiers in Human Neuroscience, Frontiers, 2013, ⟨10.3389/fnhum.2013.00865⟩ (2013)
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Using auditory classification images for the identification of fine acoustic cues used in speech perception.
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In: ISSN: 1662-5161 ; Frontiers in Human Neuroscience ; https://hal.archives-ouvertes.fr/hal-00931465 ; Frontiers in Human Neuroscience, Frontiers, 2013, 7, pp.865. ⟨10.3389/fnhum.2013.00865⟩ (2013)
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Gray and White Matter Distribution in Dyslexia: A VBM Study of Superior Temporal Gyrus Asymmetry.
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-00874179 ; PLoS ONE, Public Library of Science, 2013, 8 (10), pp.e76823. ⟨10.1371/journal.pone.0076823⟩ (2013)
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Tracking Learners' Progress: Adopting a Dual 'Corpus cum Experimental Data' Approach
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In: ISSN: 0026-7902 ; EISSN: 1540-4781 ; Modern Language Journal ; https://hal.archives-ouvertes.fr/hal-01104811 ; Modern Language Journal, Wiley, 2013, 97, pp.Pages : 61-76. ⟨10.1111/j.1540-4781.2012.01424.x⟩ (2013)
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Using auditory classification images for the identification of fine acoustic cues used in speech perception
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Abstract:
An essential step in understanding the processes underlying the general mechanism of perceptual categorization is to identify which portions of a physical stimulation modulate the behavior of our perceptual system. More specifically, in the context of speech comprehension, it is still a major open challenge to understand which information is used to categorize a speech stimulus as one phoneme or another, the auditory primitives relevant for the categorical perception of speech being still unknown. Here we propose to adapt a method relying on a Generalized Linear Model with smoothness priors, already used in the visual domain for the estimation of so-called classification images, to auditory experiments. This statistical model offers a rigorous framework for dealing with non-Gaussian noise, as it is often the case in the auditory modality, and limits the amount of noise in the estimated template by enforcing smoother solutions. By applying this technique to a specific two-alternative forced choice experiment between stimuli “aba” and “ada” in noise with an adaptive SNR, we confirm that the second formantic transition is key for classifying phonemes into /b/ or /d/ in noise, and that its estimation by the auditory system is a relative measurement across spectral bands and in relation to the perceived height of the second formant in the preceding syllable. Through this example, we show how the GLM with smoothness priors approach can be applied to the identification of fine functional acoustic cues in speech perception. Finally we discuss some assumptions of the model in the specific case of speech perception.
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Keyword:
Neuroscience
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863756 http://www.ncbi.nlm.nih.gov/pubmed/24379774 https://doi.org/10.3389/fnhum.2013.00865
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Gray and White Matter Distribution in Dyslexia: A VBM Study of Superior Temporal Gyrus Asymmetry
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Let's All Speak Together! Exploring the Masking Effects of Various Languages on Spoken Word Identification in Multi-Linguistic Babble
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