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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 Rapid Assessment of Non-Verbal Auditory Perception in Normal-Hearing Participants and Cochlear Implant Users Pralus, Agathe; Hermann, Ruben; Cholvy, Fanny... In: ISSN: 2077-0383 ; Journal of Clinical Medicine ; https://hal.archives-ouvertes.fr/hal-03413817 ; Journal of Clinical Medicine, MDPI, 2021, 10 (10), pp.2093. ⟨10.3390/jcm10102093⟩ (2021) BASE Show details 2 Rapid Assessment of Non-Verbal Auditory Perception in Normal-Hearing Participants and Cochlear Implant Users Pralus, Agathe; Hermann, Ruben; Cholvy, Fanny... In: ISSN: 2077-0383 ; Journal of Clinical Medicine ; https://hal.archives-ouvertes.fr/hal-03375356 ; Journal of Clinical Medicine, MDPI, 2021, 10 (10), pp.2093. ⟨10.3390/jcm10102093⟩ (2021) BASE Show details 3 The Iambic Trochaic Law ... Wagner, Michael. - : Open Science Framework, 2021 BASE Show details 4 The Iambic Trochaic Law ... Wagner, Michael. - : Open Science Framework, 2021 BASE Show details 5 The Iambic Trochaic Law ... Wagner, Michael. - : Open Science Framework, 2021 Abstract: In sequences of otherwise equal tones and syllables, listeners tend to hear iambs if ever other tone/syllable is longer, and trochees if every other tone/syllable is louder. This is called the iambic-trochaic law. There have also been claims that pitch has similar effects to intensity with respect to the ITL. However, prior evidence is potentially confounded, since task(often: did you hear iamb/trochee?) does not allow to infer whether low or high pitch/frequency was perceived as prominent. Here, we test how consistent prominence is perceived on high/low syllable/tone, and also whether there is greater variability in the effect of pitch because pitch in speech can be either interpreted as the reflex of a pitch accent or of a boundary tone. We also test how similar tone vs. syllable perception is. Finally, we will look at how intensity and duration affect the interpretation of pitch. ... Keyword: auditory scene analysis; chunking; Cognition and Perception; FOS Languages and literature; FOS Psychology; grouping; intonation; Linguistics; parsing; Phonetics and Phonology; prosodic phrasing; prosody; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences; speech segmentation URL: https://dx.doi.org/10.17605/osf.io/7bcaq https://osf.io/7bcaq/ BASE Hide details 6 Sound source segregation of multiple concurrent talkers via Short-Time Target Cancellation Cantu, Marcos Antonio. - 2018 BASE Show details 7 Complex acoustic environments: concepts, methods and auditory perception Weisser, Adam. - : Sydney, Australia : Macquarie University, 2018 BASE Show details 8 Temporal processing in audition: insights from music Rajendran, VG; Teki, S; Schnupp, JWH. - 2017 BASE Show details 9 Early cortical metabolic rearrangement related to clinical data in idiopathic sudden sensorineural hearing loss Schillaci, O; Alessandrini, M; Chiaravalloti, A. - : ELSEVIER SCIENCE BV, 2017 BASE Show details 10 Using Energy Difference for Speech Separation of Dual-microphone Close-talk System Yi Jiang; Ming Jiang; Yuanyuan Zu... In: http://www.sensorsportal.com/HTML/DIGEST/may_2013/Special_issue/P_SI_353.pdf (2013) BASE Show details 11 Cortical responses to changes in acoustic regularity are differentially modulated by attentional load Chait, Maria; Ruff, Christian C; Griffiths, Timothy D. - : Elsevier, 2012 BASE Show details 12 TEMPORAL CODING OF SPEECH IN HUMAN AUDITORY CORTEX Ding, Nai. - 2012 BASE Show details 13 Monaural speech separation and recognition challenge : Elsevier, 2011 BASE Show details 14 Monaural speech separation and recognition challenge Cooke, Martin; Hershey, John,; Rennie, Steven J. In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00598185 ; Computer Speech and Language, Elsevier, 2009, 24 (1), pp.1. ⟨10.1016/j.csl.2009.02.006⟩ (2009) BASE Show details 15 Monaural Speech Segregation by Integrating Primitive and Schema-Based Analysis Srinivasan, Soundar; Wang, DeLiang; Roman, Nicoleta... In: DTIC (2008) BASE Show details 16 Hearing VS. Listening: Attention Changes the Neural Representations of Auditory Percepts xiang, juanjuan. - 2008 BASE Show details 17 A Computational Auditory Scene Analysis System for Speech Segregation and Robust Speech Recognition Shao,Yang; Srinivasan,Soundararajan; Jin,Zhaozhang. - 2007 BASE Show details 18 Isolating the Energetic Component of Speech-on-Speech Masking With Ideal Time-Frequency Segregation Brungart, Douglas S.; Chang, Peter S.; Simpson, Brian D.... In: DTIC (2006) BASE Show details 19 Speech recognition with amplitude and frequency modulations Zeng, F G; Nie, K; Stickney, G S... In: Zeng, F G; Nie, K; Stickney, G S; Kong, Y Y; Vongphoe, M; Bhargave, A; et al.(2005). Speech recognition with amplitude and frequency modulations. Proceedings of the National Academy of Sciences of the United States of America, 102(7), 2293 - 2298. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/1tn280m7 (2005) BASE Show details 20 ARSTREAM: A Neural Network Model of Auditory Scene Analysis and Source Segregation Cohen, Michael; Grossberg, Stephen; Wyse, Lonce. - : Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003 BASE Show details Page: 1 2

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