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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 28 1 A Speech-Level–Based Segmented Model to Decode the Dynamic Auditory Attention States in the Competing Speaker Scenes Wang, Lei; Wang, Yihan; Liu, Zhixing; Wu, Ed X.; Chen, Fei In: Front Neurosci (2022) Abstract: In the competing speaker environments, human listeners need to focus or switch their auditory attention according to dynamic intentions. The reliable cortical tracking ability to the speech envelope is an effective feature for decoding the target speech from the neural signals. Moreover, previous studies revealed that the root mean square (RMS)–level–based speech segmentation made a great contribution to the target speech perception with the modulation of sustained auditory attention. This study further investigated the effect of the RMS-level–based speech segmentation on the auditory attention decoding (AAD) performance with both sustained and switched attention in the competing speaker auditory scenes. Objective biomarkers derived from the cortical activities were also developed to index the dynamic auditory attention states. In the current study, subjects were asked to concentrate or switch their attention between two competing speaker streams. The neural responses to the higher- and lower-RMS-level speech segments were analyzed via the linear temporal response function (TRF) before and after the attention switching from one to the other speaker stream. Furthermore, the AAD performance decoded by the unified TRF decoding model was compared to that by the speech-RMS-level–based segmented decoding model with the dynamic change of the auditory attention states. The results showed that the weight of the typical TRF component approximately 100-ms time lag was sensitive to the switching of the auditory attention. Compared to the unified AAD model, the segmented AAD model improved attention decoding performance under both the sustained and switched auditory attention modulations in a wide range of signal-to-masker ratios (SMRs). In the competing speaker scenes, the TRF weight and AAD accuracy could be used as effective indicators to detect the changes of the auditory attention. In addition, with a wide range of SMRs (i.e., from 6 to –6 dB in this study), the segmented AAD model showed the robust decoding performance even with short decision window length, suggesting that this speech-RMS-level–based model has the potential to decode dynamic attention states in the realistic auditory scenarios. Keyword: Neuroscience URL: https://doi.org/10.3389/fnins.2021.760611 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866945/ BASE Hide details 2 Speech and word learning in autism (Yan et al., 2021) ... Yan, Jinting; Chen, Fei; Gao, Xiaotian. - : ASHA journals, 2021 BASE Show details 3 Speech and word learning in autism (Yan et al., 2021) ... Yan, Jinting; Chen, Fei; Gao, Xiaotian. - : ASHA journals, 2021 BASE Show details 4 The Development of Categorical Perception of Segments and Suprasegments in Mandarin-Speaking Preschoolers Ma, Junzhou; Zhu, Jiaqiang; Yang, Yuxiao... In: Front Psychol (2021) BASE Show details 5 Book Review: Speech Perception, Production and Acquisition: Multidisciplinary Approaches in Chinese Languages Zhu, Jiaqiang; Chen, Xiaoxiang; Chen, Fei In: Front Psychol (2021) BASE Show details 6 A Review of Speech Perception of Mandarin-Speaking Children With Cochlear Implantation Gao, Qi; Wong, Lena L. N.; Chen, Fei In: Front Neurosci (2021) BASE Show details 7 Reduced Sensitivity to Between-Category Information but Preserved Categorical Perception of Lexical Tones in Tone Language Speakers With Congenital Amusia Chen, Fei; Peng, Gang In: Front Psychol (2020) BASE Show details 8 The time course of orthographic and semantic activation in Chinese character recognition: evidence from anERP study ... Zhang, Hao; I-Fan Su; Chen, Fei. - : Taylor & Francis, 2019 BASE Show details 9 The time course of orthographic and semantic activation in Chinese character recognition: evidence from anERP study ... Zhang, Hao; I-Fan Su; Chen, Fei. - : Taylor & Francis, 2019 BASE Show details 10 Cantonese Tone Identification in Three Temporal Cues in Quiet, Speech-Shaped Noise and Two-Talker Babble Wong, Puisan; Cheng, Sheung Ting; Chen, Fei. - : Frontiers Media S.A., 2018 BASE Show details 11 Quantitative Assessment of Blood Pressure Measurement Accuracy and Variability from Visual Auscultation Method by Observers without Receiving Medical Training Chen, Wenai; Chen, Fei; Feng, Yong. - : Hindawi, 2017 BASE Show details 12 Assessing the effect of noise-reduction to the intelligibility of low-pass filtered speech Zhuge, Huimin; Wang, Lei; Chen, Fei. - : IEEE, 2016 BASE Show details 13 Facial Bone Vibration In Resonant Voice Production Chen, Fei C.; Ma, Estella P.-M.; Yiu, Edwin M.-L. In: Journal of voice. - Amsterdam [u.a.] : Elsevier 28 (2014) 5, 596-602 OLC Linguistik Show details 14 A Hilbert-fine-structure-derived physical metric for predicting the intelligibility of noise-distorted and noise-suppressed speech Chen, Fei; Wong, Lena L.N.; Hu, Yi In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 10, 1011-1020 OLC Linguistik Show details 15 Vibratory and Perceptual Measurement of Resonant Voice Yiu, Edwin M.-L.; Chen, Fei C.; Lo, Gigi... In: Journal of voice. - Amsterdam [u.a.] : Elsevier 26 (2012) 5, 675.e13 OLC Linguistik Show details 16 Impact of SNR and gain-function over- and under-estimation on speech intelligibility Chen, Fei; Loizou, Philipos C. In: Speech communication. - Amsterdam [u.a.] : Elsevier 54 (2012) 2, 272-281 BLLDB OLC Linguistik Show details 17 Impact of SNR and Gain-Function Over- and Under-estimation on Speech Intelligibility Chen, Fei; Loizou, Philipos C.. - 2012 BASE Show details 18 Contributions of cochlea-scaled entropy and consonant-vowel boundaries to prediction of speech intelligibility in noise Chen, Fei; Loizou, Philipos C.. - : Acoustical Society of America, 2012 BASE Show details 19 Intelligibility prediction for distorted sentences by the normalized covariance measure Chen, Fei In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 14 (2011) 3, 237-243 BLLDB OLC Linguistik Show details 20 Teacher-education students’ views about knowledge building theory and practice Hong, Huang-Yao; Chen, Fei-Ching; Chai, Ching Sing... In: Instructional science. - Dordrecht ; Heidelberg [u.a.] : Springer Science + Business Media 39 (2011) 4, 467-482 OLC Linguistik Show details Page: 1 2

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