| 1 |
Unsupervised quantification of entity consistency between photos and text in real-world news ...
|
|
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
|
|
BASE
|
|
Show details
|
|
|
| 2 |
COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing
|
|
|
|
In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-02617084 ; Frontiers in Neuroscience, Frontiers, 2020, pp.36 ; https://www.frontiersin.org/ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Neuroplasticity in Visual Word Recognition: An Exploration of Learning-Related Behavioural and Neural Changes ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
The temporal dynamics of first and second language processing: ERPs to spoken words in Mandarin-English bilinguals
|
|
|
|
In: Brain and Mind Institute Researchers' Publications (2020)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Traitement neuronal des voix et familiarité : entre reconnaissance et identification du locuteur
|
|
|
|
BASE
|
|
Show details
|
|
|
| 10 |
The Role of Surface and Underlying Forms When Processing Tonal Alternations in Mandarin Chinese: A Mismatch Negativity Study
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Challenges in Audio Processing of Terrorist-Related Data
|
|
|
|
In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02415176 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Challenges in Audio Processing of Terrorist-Related Data
|
|
|
|
In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02387373 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Does the prosodic emphasis of sentential context cause deeper lexical-semantic processing?
|
|
|
|
In: ISSN: 2327-3798 ; EISSN: 2327-3801 ; Language, Cognition and Neuroscience ; https://hal.univ-lille.fr/hal-01917002 ; Language, Cognition and Neuroscience, Taylor and Francis, 2019, 34, pp.29-42. ⟨10.1080/23273798.2018.1499945⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Acoustic event, spoken keyword and emotional outburst detection
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Event Structure In Vision And Language
|
|
|
|
In: Publicly Accessible Penn Dissertations (2019)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Investigating the Electrophysiology of Long-Term Priming in Spoken Word Recognition
|
|
|
|
In: ETD Archive (2018)
|
|
Abstract:
When participants are listening to the same words spoken by different talkers, two types of priming are possible: repetition priming and talker-specific priming. Repetition priming refers to the exposure of a stimulus improving responses to a subsequent exposure. Talker-specific priming refers to the exposure of words spoken by same talkers improving responses relative to those same words spoken by different talkers. There are conflicting theories regarding whether talker-specific priming should be observed. Abstract representational theories suggest that episodic details (e.g., talker identity) are not stored in the mental lexicon, while episodic theories of the lexicon posit that lexical representations include episodic details. According to the time-course hypothesis, the mental lexicon includes both types of representations, and abstract representations are accessed earlier than episodic representations. In the present experiment, long-term priming in spoken word recognition was tested using a technique that is particularly well-suited for answering questions about timing: event-related potentials (ERPs). Participants heard words spoken by two different talkers in each of two separate blocks. Stimuli in the second block consisted of three different priming conditions, which are described in relation to what participants heard in the first block: new, unprimed, words (control), repeated words spoken by the same talker (match), and repeated words spoken by different talkers (mismatch). Evidence for long-term repetition priming was obtained in reaction times and accuracy. Electrophysiological evidence of repetition priming was obtained in low frequency words. Talker-specific priming effects were observed in accuracy, with more accurate responses in the match condition than in the mismatch condition, consistent with episodic representational theories. However, there was no evidence of talker-specific priming in the ERP data, which, when considered alone, is consistent with abstract representational theories. The current results provide the first physiological evidence (ERPs) of long-term repetition priming in spoken word recognition, setting the stage for future empirical investigations.
|
|
Keyword:
Cognitive Psychology; event-related potentials; Experimental Psychology; long-term priming; Psychiatry and Psychology; Psychological Phenomena and Processes; Psychology; spoken word recognition; time-course hypothesis
|
|
URL: https://engagedscholarship.csuohio.edu/etdarchive/1046
https://engagedscholarship.csuohio.edu/cgi/viewcontent.cgi?article=2048&context=etdarchive
|
|
BASE
|
|
Hide details
|
|
|
| 17 |
Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-Term Memory, Deep Neural Networks
|
|
Qiu, Liang. - : eScholarship, University of California, 2018
|
|
In: Qiu, Liang. (2018). Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-Term Memory, Deep Neural Networks. UCLA: Electrical Engineering 0303. Retrieved from: http://www.escholarship.org/uc/item/1pz29229 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Abstract Concepts and Pictures of Real-World Situations Activate One Another.
|
|
|
|
In: Psychology Publications (2018)
|
|
BASE
|
|
Show details
|
|
|
|
|
