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12
Hits 1 – 20 of 223
1
Regression modeling for linguistic data ...
Sonderegger, Morgan
. - : Open Science Framework, 2022
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2
THE EFFECTS OF L2 PRAGMATIC AUTONOMOUS AND CONTROLLED MOTIVATIONS ON ENGAGEMENT WITH PRAGMATIC ASPECT
I Nyoman Suka Sanjaya
;
Anak Agung Raka Sitawati
;
Ni Ketut Suciani
...
In: TEFLIN Journal, Vol 33, Iss 1, Pp 148-172 (2022) (2022)
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3
A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
Onosson, Sky
;
Stewart, Jesse
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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4
Which data do elementary school teachers use to determine reading difficulties in their students?
Schmitterer, Alexandra
;
Brod, Garvin
In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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5
Which data do elementary school teachers use to determine reading difficulties in their students? ...
Schmitterer, Alexandra
;
Brod, Garvin
. - : Hammill Inst. on Disabilites, 2021. : Sage Publ., 2021
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6
Aspects of linguistic ageing in literary authors across time
Vogel, Carl
. - 2021
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7
APPLICATION OF THE ECONOMETRIC APPROACH TO FORECASTING THE KEY INDICATORS IN RENTAL OPERATIONS ; ЗАСТОСУВАННЯ ЕКОНОМЕТРИЧНОГО ПІДХОДУ ДО ПРОГНОЗУВАННЯ КЛЮЧОВИХ ПОКАЗНИКІВ В ОРЕНДНИХ ОПЕРАЦІЯХ
Ільїн, Валерій
;
Рогозний, Сергій
In: The Economic Discourse; No. 3 (2020); 106-116 ; Економічний дискурс; № 3 (2020); 106-116 ; 2410-7476 ; 2410-0919 ; 10.36742/2410-0919-2020-3 (2021)
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8
Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
Legay, C.
;
Pasquier, J.
;
Fuster, D.
...
In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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9
Exploring predictors of translation performance
Mehdi Ghobadi
;
Sadaf Khosroshahi
;
Fatemeh Giveh
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 13 , Iss 2 (2021) (2021)
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10
Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
Sohoglu, Ediz
;
Davis, Matt
. - : Apollo - University of Cambridge Repository, 2020
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11
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
Sonali Rajesh Shah
;
Abhishek Kaushik
;
Shubham Sharma
...
In: Big Data and Cognitive Computing ; Volume 4 ; Issue 1 (2020)
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12
"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
Zagovora, Olga
;
Flöck, Fabian
;
Wagner, Claudia
In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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13
Bilingual (English-Ukrainian) course of lectures on "probabilistic basics of data proccesing" [Text] / Comp.: O.A Batina, G.G.Vlasyuk.- K .: NTUU "KPI", 2017. - 179 p.
elena Batina
(8972099). - 2020
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14
The development of narrative skills in Turkish-speaking children: A complexity approach
Ögel Balaban, Hale
;
Hohenberger, Annette
. - 2020
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15
Primärprozess in der Katathym Imaginativen Psychotherapie unter dem Einfluss psychotroper Substanzen ...
Grotz, Annalen
. - : Universität Ulm, 2019
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16
Computing Happiness from Textual Data
Emad Mohamed
;
Sayed A. Mostafa
In: Stats ; Volume 2 ; Issue 3 ; Pages 25-370 (2019)
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17
Computing Happiness from Textual Data
Mohamed, Emad
;
Mostafa, Safa
In: 2 ; 3 ; 347 ; 370 (2019)
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18
Individualized Frequency Importance Functions for Listeners with Sensorineural Hearing Loss
Bosen, Adam K.
;
Yoho Leopold, Sarah E.
In: Communicative Disorders and Deaf Education Faculty Publications (2019)
Abstract:
The Speech Intelligibility Index includes a series of frequency importance functions for calculating the estimated intelligibility of speech under various conditions. Until recently, techniques to derive frequency importance required averaging data over a group of listeners, thus hindering the ability to observe individual differences due to factors such as hearing loss. In the current study, the “random combination strategy” [Bosen and Chatterjee (2016). J. Acoust. Soc. Am. 140, 3718–3727] was used to derive frequency importance functions for individual hearing-impaired listeners, and normal-hearing participants for comparison. Functions were measured by filtering sentences to contain only random subsets of frequency bands on each trial, and regressing speech recognition against the presence or absence of bands across trials. Results show that the contribution of each band to speech recognition was inversely proportional to audiometric threshold in that frequency region, likely due to reduced audibility, even though stimuli were shaped to compensate for each individual's hearing loss. The results presented in this paper demonstrate that this method is sensitive to factors that alter the shape of frequency importance functions within individuals with hearing loss, which could be used to characterize the impact of audibility or other factors related to suprathreshold deficits or hearing aid processing strategies.
Keyword:
Audiometers
;
Audiometry
;
Auditory Perception
;
Auditory System
;
Communication Sciences and Disorders
;
Hearing Aids
;
Hearing Impairment
;
Regression Analysis
;
Speech Communication
;
Speech Pathology and Audiology
;
Speech Perception
;
Speech Recognition
URL:
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1506&context=comd_facpub
https://digitalcommons.usu.edu/comd_facpub/507
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19
A Meta-Analysis and Meta-Regression of Incidental Second Language Word Learning from Spoken Input ...
de Vos, Johanna
;
Schriefers, Herbert
;
Lemhöfer, Kristin
. - : Radboud University, 2018
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20
The Relation between Prospective Teachers’ Attitudes towards Uncertainty and Motivation in Teaching
Cem Şenol
;
Mustafa Akdağ
In: Education Sciences ; Volume 8 ; Issue 3 (2018)
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