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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 Hits 1 – 10 of 10 1 Speech amplification devices for hypophonia (Knowles et al., 2020) ... Knowles, Thea; Adams, Scott G.; Page, Allyson. - : ASHA journals, 2020 BASE Show details 2 Speech amplification devices for hypophonia (Knowles et al., 2020) ... Knowles, Thea; Adams, Scott G.; Page, Allyson. - : ASHA journals, 2020 BASE Show details 3 Structured heterogeneity in Scottish stops over the 20th Century Stuart-Smith, Jane; Knowles, Thea; Macdonald, Rachel. - : Linguistic Society of America, 2020 BASE Show details 4 Changes in speech intelligibility and acoustic distinctiveness along a speech rate continuum in Parkinson’s disease Knowles, Thea In: Electronic Thesis and Dissertation Repository (2019) BASE Show details 5 STN-DBS parameter optimization for speech in PD (Knowles et al., 2018) ... Knowles, Thea; Adams, Scott; Abeyesekera, Anita. - : Figshare, 2018 BASE Show details 6 STN-DBS parameter optimization for speech in PD (Knowles et al., 2018) ... Knowles, Thea; Adams, Scott; Abeyesekera, Anita. - : Figshare, 2018 BASE Show details 7 Automatic analysis of child speech (Knowles et al., 2018) ... Knowles, Thea; Clayards, Meghan; Sonderegger, Morgan. - : ASHA journals, 2018 Abstract: Purpose: Heterogeneous child speech was force-aligned to investigate whether (a) manipulating specific parameters could improve alignment accuracy and (b) forced alignment could be used to replicate published results on acoustic characteristics of /s/ production by children. Method: In Part 1, child speech from 2 corpora was force-aligned with a trainable aligner (Prosodylab-Aligner) under different conditions that systematically manipulated input training data and the type of transcription used. Alignment accuracy was determined by comparing hand and automatic alignments as to how often they overlapped (%-Match) and absolute differences in duration and boundary placements. Using mixed-effects regression, accuracy was modeled as a function of alignment conditions, as well as segment and child age. In Part 2, forced alignments derived from a subset of the alignment conditions in Part 1 were used to extract spectral center of gravity of /s/ productions from young children. These findings were compared to ... Keyword: 170204 Linguistic Processes incl. Speech Production and Comprehension; 20301 Acoustics and Acoustical Devices; Waves; FOS Physical sciences; FOS Psychology URL: https://dx.doi.org/10.23641/asha.7070105 https://asha.figshare.com/articles/Automatic_analysis_of_child_speech_Knowles_et_al_2018_/7070105 BASE Hide details 8 Automatic analysis of child speech (Knowles et al., 2018) ... Knowles, Thea; Clayards, Meghan; Sonderegger, Morgan. - : ASHA journals, 2018 BASE Show details 9 Effects of Multi-talker Noise on the Acoustics of Voiceless Stop Consonants in Parkinson's Disease Jog, Mandar; Adams, Scott; Cushnie-Sparrow, Daryn... In: Western Papers in Linguistics / Cahiers linguistiques de Western (2016) BASE Show details 10 Didja know? A comparative study of affrication across word boundaries in Canadian and American English Knowles, Thea; Little, Carol. - 2013 BASE Show details

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