Please use this identifier to cite or link to this item:
http://theses.ncl.ac.uk/jspui/handle/10443/4645
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | McCarthy, Daniel Timothy Pio Denis | - |
dc.date.accessioned | 2020-01-28T14:17:38Z | - |
dc.date.available | 2020-01-28T14:17:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://theses.ncl.ac.uk/jspui/handle/10443/4645 | - |
dc.description | PhD Thesis | en_US |
dc.description.abstract | This thesis investigates certain aspects of the acoustics of plosives’ place of articulation that have not been addressed by most previous studies, namely: 1. To test the performance of a technique for collapsing F2onset and F2mid into a single attribute, termed F2R. Results: F2R distinguishes place with effectively the same accuracy as F2onset+F2mid, being within ±1 percentage point of F2onset+F2mid at its strongest over most of the conditions examined. 2. To compare the strength of burst-based attributes at distinguishing place of articulation with and without normalization by individual speaker. Results: Lobanov normalization on average boosted the classification of individual attributes by 1.4 percentage points, but this modest improvement shrank or disappeared when the normalized attributes were combined into a single classification. 3. To examine the effect of different spectral representations (Hz-dB, Bark-phon, and Bark-sone) on the accuracy of the burst attributes. The results are mixed but mostly suggest that the choice between these representations is not a major factor in the classification accuracy of the attributes (mean difference of 1 to 1.5 percentage points); the choice of frequency region in the burst (mid versus high) is a far more important factor (13 percentage-point difference in mean classification accuracy). 4. To compare the performance of some traditional-phonetic burst attributes with the first 12 coefficients of the discrete cosine transform (DCT). The motivation for this comparison is that phonetic science has a long tradition of developing burst attributes that are tailored to the specific task of extracting place-of-articulation information from the burst, whereas automatic speech recognition (ASR) has long used attributes that are theoretically expected to capture more of the variance in the burst. Results: the DCT coefficients yielded a higher burst classification accuracy than the traditional phonetic attributes, by 3 percentage points. | en_US |
dc.description.sponsorship | Economic and Social Research Counci | en_US |
dc.language.iso | en | en_US |
dc.publisher | Newcastle University | en_US |
dc.title | The acoustics of place of articulation in English plosives | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | School of Education, Communication and Language Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
McCarthy Daniel 2019.pdf | Thesis | 9.44 MB | Adobe PDF | View/Open |
dspacelicence.pdf | Licence | 43.82 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.