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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach
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The Effect of Orthographic Transparency on Auditory Word Recognition Across the Development of Reading Proficiency
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.archives-ouvertes.fr/hal-03340208 ; Frontiers in Psychology, Frontiers, 2021, 12, ⟨10.3389/fpsyg.2021.691989⟩ (2021)
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COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
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In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
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Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
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In: ISSN: 0332-5865 ; Nordic Journal of Linguistics ; https://hal-amu.archives-ouvertes.fr/hal-03283527 ; Nordic Journal of Linguistics, 2021, pp.1-19. ⟨10.1017/S0332586521000056⟩ (2021)
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The representation of variable tone sandhi patterns in Shanghai Wu
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 15 ; 1868-6354 (2021)
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What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach
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In: Brain Sciences; Volume 11; Issue 12; Pages: 1628 (2021)
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Data for: 'Differences between morphological and repetition priming in auditory lexical decision' ...
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Data for: 'Differences between morphological and repetition priming in auditory lexical decision' ...
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Methodological and Theoretical Extensions to the TRACE Model of Spoken Word Recognition
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In: Honors Scholar Theses (2021)
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F0 Slope and Mean: Cues to Speech Segmentation in French
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In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-03042331 ; Interspeech 2020, Oct 2020, Shanghai, China. pp.1610-1614, ⟨10.21437/Interspeech.2020-2509⟩ (2020)
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DOI: http://dx.doi.org/10.17632/btfx5pw2rm.2#file-671c7b82-253e-465c-8844-b557e3b72b78 ...
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DOI: http://dx.doi.org/10.17632/btfx5pw2rm.2#file-671c7b82-253e-465c-8844-b557e3b72b78 ...
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Abstract:
SARA is a database, which consists of a set of spontaneous not pre-specified colloquial phrases in everyday life and life situations that are collected from media shows, episodes and films published on YouTube played by native speakers with three different Arabic dialects and accents. SARA's dialects are the Egyptian dialect (EGY), the Arabian Peninsula dialect (ARP) and the Levantine dialect (LEV). In addition, within each dialect group there are a number of different accents. Each utterance contains a one-speaker speech, the number of speakers within the dialect and the number of utterances by a speaker is unknown. This dataset can be used in speech, speaker, dialect and accent recognition applications. SARA dataset contains only adult speakers to avoid the improper pronunciation of the children that can affect the detection process. The dataset samples are variant in length from 3 to 7 seconds in order to verify the minimum time in which we can determine the speaker dialect or accent when the speaker ...
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Keyword:
Arabic Language; Dialect; Spoken Word Recognition
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URL: https://dx.doi.org/10.17632/8cw8byj797 https://data.mendeley.com/datasets/8cw8byj797
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Computational modelling of an auditory lexical decision experiment using jTRACE and TISK
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Computational Modelling of Spoken Word Recognition in the Auditory Lexical Decision Task
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Nenadić, Filip. - : University of Alberta. Department of Linguistics., 2020
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