Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers

Kostek B, Piotrowska M, Ciszewski T, Czyzewski A. Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers. In: AES Convention 143. Audio Engineering Society; 2017. Paper 9847. Available from: https://aes.org/publications/elibrary-page/?id=19244

@inproceedings{Kostek2017_19244,
  author = {Kostek, Bozena and Piotrowska, Magdalena and Ciszewski, Tomasz and Czyzewski, Andrzej},
  title = {{Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers}},
  booktitle = {AES Convention 143},
  note = {Paper 9847},
  year = {2017},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19244}
}

TY  - CPAPER
TI  - Comparative Study of Self-Organizing Maps vs Subjective Evaluation of Quality of Allophone Pronunciation for Non-native English Speakers
AU  - Kostek, Bozena
AU  - Piotrowska, Magdalena
AU  - Ciszewski, Tomasz
AU  - Czyzewski, Andrzej
T2  - AES Convention 143
M1  - Paper 9847
PY  - 2017
DA  - 2017/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19244
PB  - Audio Engineering Society
LA  - en
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.
ER  -