Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers
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B. Kostek, M. Piotrowska, T. Ciszewski, and A. Czyzewski, "Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers," Paper 9847, (2017 October.). doi:
B. Kostek, M. Piotrowska, T. Ciszewski, and A. Czyzewski, "Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers," Paper 9847, (2017 October.). doi:
Abstract: The purpose of this study was to apply Self-Organizing Maps to differentiate between the correct and the incorrect allophone pronunciations and to compare the results with subjective evaluation. Recordings of a list of target words, containing selected allophones of English plosive consonants, the velar nasal and the lateral consonant, were made twice. First, the target words were read from the list by nine non-native speakers and then repeated after a phonology expert’s recorded sample. Afterwards, two recorded signal sets were segmented into allophones and parameterized. For that purpose, a set of descriptors, commonly employed in music information retrieval, was utilized to determine whether they are effective in allophone analysis. The phonology expert’s task was to evaluate the pronunciation accuracy of each uttered allophone. Extracted feature vectors along with the assigned ratings were applied to SOMs.
@article{kostek2017comparative,
author={kostek, bozena and piotrowska, magdalena and ciszewski, tomasz and czyzewski, andrzej},
journal={journal of the audio engineering society},
title={comparative study of self-organizing maps vs subjective evaluation of quality of allophone pronunciation for non-native english speakers},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{kostek2017comparative,
author={kostek, bozena and piotrowska, magdalena and ciszewski, tomasz and czyzewski, andrzej},
journal={journal of the audio engineering society},
title={comparative study of self-organizing maps vs subjective evaluation of quality of allophone pronunciation for non-native english speakers},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={the purpose of this study was to apply self-organizing maps to differentiate between the correct and the incorrect allophone pronunciations and to compare the results with subjective evaluation. recordings of a list of target words, containing selected allophones of english plosive consonants, the velar nasal and the lateral consonant, were made twice. first, the target words were read from the list by nine non-native speakers and then repeated after a phonology expert’s recorded sample. afterwards, two recorded signal sets were segmented into allophones and parameterized. for that purpose, a set of descriptors, commonly employed in music information retrieval, was utilized to determine whether they are effective in allophone analysis. the phonology expert’s task was to evaluate the pronunciation accuracy of each uttered allophone. extracted feature vectors along with the assigned ratings were applied to soms.},}
TY - paper
TI - Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers
SP -
EP -
AU - Kostek, Bozena
AU - Piotrowska, Magdalena
AU - Ciszewski, Tomasz
AU - Czyzewski, Andrzej
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
TY - paper
TI - Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers
SP -
EP -
AU - Kostek, Bozena
AU - Piotrowska, Magdalena
AU - Ciszewski, Tomasz
AU - Czyzewski, Andrzej
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
AB - The purpose of this study was to apply Self-Organizing Maps to differentiate between the correct and the incorrect allophone pronunciations and to compare the results with subjective evaluation. Recordings of a list of target words, containing selected allophones of English plosive consonants, the velar nasal and the lateral consonant, were made twice. First, the target words were read from the list by nine non-native speakers and then repeated after a phonology expert’s recorded sample. Afterwards, two recorded signal sets were segmented into allophones and parameterized. For that purpose, a set of descriptors, commonly employed in music information retrieval, was utilized to determine whether they are effective in allophone analysis. The phonology expert’s task was to evaluate the pronunciation accuracy of each uttered allophone. Extracted feature vectors along with the assigned ratings were applied to SOMs.
The purpose of this study was to apply Self-Organizing Maps to differentiate between the correct and the incorrect allophone pronunciations and to compare the results with subjective evaluation. Recordings of a list of target words, containing selected allophones of English plosive consonants, the velar nasal and the lateral consonant, were made twice. First, the target words were read from the list by nine non-native speakers and then repeated after a phonology expert’s recorded sample. Afterwards, two recorded signal sets were segmented into allophones and parameterized. For that purpose, a set of descriptors, commonly employed in music information retrieval, was utilized to determine whether they are effective in allophone analysis. The phonology expert’s task was to evaluate the pronunciation accuracy of each uttered allophone. Extracted feature vectors along with the assigned ratings were applied to SOMs.
Authors:
Kostek, Bozena; Piotrowska, Magdalena; Ciszewski, Tomasz; Czyzewski, Andrzej
Affiliations:
Gdansk University of Technology, Gdansk, Poland; Audio Acoustics Lab.; University of Gdansk, Gdansk, Poland(See document for exact affiliation information.)
AES Convention:
143 (October 2017)
Paper Number:
9847
Publication Date:
October 8, 2017Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19244