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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 3 4 5...10 Hits 1 – 20 of 193 1 Inferring Pitch from Coarse Spectral Features ... Ma, Danni; Ryant, Neville; Liberman, Mark. - : arXiv, 2022 BASE Show details 2 Global TIMIT Mandarin Chinese Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021 BASE Show details 3 Second DIHARD Challenge Development - Eleven Sources Ryant, Neville; Liberman, Mark; Fiumara, James. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021 BASE Show details 4 Second DIHARD Challenge Development - SEEDLingS Ryant, Neville; Liberman, Mark; Fiumara, James. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021 BASE Show details 5 First DIHARD Challenge -- System Submissions and Scores ... Ryant, Neville; Church, Kenneth; Cieri, Christopher. - : Zenodo, 2021 BASE Show details 6 First DIHARD Challenge -- System Submissions and Scores ... Ryant, Neville; Church, Kenneth; Cieri, Christopher. - : Zenodo, 2021 BASE Show details 7 Second DIHARD Challenge Development - SEEDLingS ... Liberman, Mark; Fiumara, James; Cieri, Christopher. - : Linguistic Data Consortium, 2021 BASE Show details 8 Second DIHARD Challenge Development - Eleven Sources ... Liberman, Mark; Fiumara, James; Cieri, Christopher. - : Linguistic Data Consortium, 2021 BASE Show details 9 Automatic recognition of suprasegmentals in speech ... Yuan, Jiahong; Ryant, Neville; Cai, Xingyu. - : arXiv, 2021 BASE Show details 10 Global TIMIT Mandarin Chinese ... Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2021 BASE Show details 11 Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes Parjane, Natalia; Cho, Sunghye; Ash, Sharon... In: J Alzheimers Dis (2021) BASE Show details 12 The Future of Computational Linguistics: On Beyond Alchemy Church, Kenneth; Liberman, Mark In: Front Artif Intell (2021) BASE Show details 13 Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders Tang, Sunny X.; Kriz, Reno; Cho, Sunghye... In: NPJ Schizophr (2021) BASE Show details 14 Automated analysis of lexical features in Frontotemporal Degeneration Cho, Sunghye; Nevler, Naomi; Ash, Sharon... In: Cortex (2021) BASE Show details 15 Automated Analysis of Digitized Letter Fluency Data Cho, Sunghye; Nevler, Naomi; Parjane, Natalia; Cieri, Christopher; Liberman, Mark; Grossman, Murray; Cousins, Katheryn A. Q. In: Front Psychol (2021) Abstract: The letter-guided naming fluency task is a measure of an individual’s executive function and working memory. This study employed a novel, automated, quantifiable, and reproducible method to investigate how language characteristics of words produced during a fluency task are related to fluency performance, inter-word response time (RT), and over task duration using digitized F-letter-guided fluency recordings produced by 76 young healthy participants. Our automated algorithm counted the number of correct responses from the transcripts of the F-letter fluency data, and individual words were rated for concreteness, ambiguity, frequency, familiarity, and age of acquisition (AoA). Using a forced aligner, the transcripts were automatically aligned with the corresponding audio recordings. We measured inter-word RT, word duration, and word start time from the forced alignments. Articulation rate was also computed. Phonetic and semantic distances between two consecutive F-letter words were measured. We found that total F-letter score was significantly correlated with the mean values of word frequency, familiarity, AoA, word duration, phonetic similarity, and articulation rate; total score was also correlated with an individual’s standard deviation of AoA, familiarity, and phonetic similarity. RT was negatively correlated with frequency and ambiguity of F-letter words and was positively correlated with AoA, number of phonemes, and phonetic and semantic distances. Lastly, the frequency, ambiguity, AoA, number of phonemes, and semantic distance of words produced significantly changed over time during the task. The method employed in this paper demonstrates the successful implementation of our automated language processing pipelines in a standardized neuropsychological task. This novel approach captures subtle and rich language characteristics during test performance that enhance informativeness and cannot be extracted manually without massive effort. This work will serve as the reference for letter-guided category fluency production similarly acquired in neurodegenerative patients. Keyword: Psychology URL: https://doi.org/10.3389/fpsyg.2021.654214 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359864/ BASE Hide details 16 Tonal Complexes and Tonal Alignment Akinlabi, Akin; Liberman, Mark In: North East Linguistics Society (2021) BASE Show details 17 Global TIMIT Learner Simple English Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 18 Global TIMIT Learner Treebank English Luan, Huan; Wang, Yanhong; Feng, Hui. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 19 Global TIMIT Mandarin Chinese-Guanzhong Dialect Jiang, Yue; Zhan, Juhong; Han, Hongjian. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020 BASE Show details 20 Probing Acoustic Representations for Phonetic Properties ... Ma, Danni; Ryant, Neville; Liberman, Mark. - : arXiv, 2020 BASE Show details Page: 1 2 3 4 5...10

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