TY - GEN
T1 - WawaSimi
T2 - 14th International Conference on Computer Supported Education, CSEDU 2022
AU - Baldeon, Braulio
AU - Ravelli, Renzo
AU - Ugarte, Willy
N1 - Publisher Copyright:
Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
PY - 2022
Y1 - 2022
N2 - In the context of the pandemic we are living in, most of the interactions between kindergarten-aged children has decreased, meaning that their language development might be slowed down. Our work presents a machine learning-based method for the classification of phonological processes and a corpus with a total of 3,324 audios, being 40% of them audios with a correct pronunciation, and the remaining 60% wrong. One of the main problems encountered when trying to perform children speech recognition in Spanish, is, to the best of our knowledge, the lack of a corpus. 329 audios were collected from 20-30 years old adults and a voice conversion technique was applied in order to generate the required audios for the corpus construction. A modified AlexNet was trained to classify if a word was correctly pronounced, if the audio was classified as mispronounced, it goes through a second AlexNet to classify which kind of Phonological Process is found in the word.
AB - In the context of the pandemic we are living in, most of the interactions between kindergarten-aged children has decreased, meaning that their language development might be slowed down. Our work presents a machine learning-based method for the classification of phonological processes and a corpus with a total of 3,324 audios, being 40% of them audios with a correct pronunciation, and the remaining 60% wrong. One of the main problems encountered when trying to perform children speech recognition in Spanish, is, to the best of our knowledge, the lack of a corpus. 329 audios were collected from 20-30 years old adults and a voice conversion technique was applied in order to generate the required audios for the corpus construction. A modified AlexNet was trained to classify if a word was correctly pronounced, if the audio was classified as mispronounced, it goes through a second AlexNet to classify which kind of Phonological Process is found in the word.
KW - Language Acquisition
KW - Language Development Level
KW - Machine Learning
KW - Phonological Processes
UR - https://www.scopus.com/pages/publications/85140915969
U2 - 10.5220/0010991300003182
DO - 10.5220/0010991300003182
M3 - Contribución a la conferencia
AN - SCOPUS:85140915969
T3 - International Conference on Computer Supported Education, CSEDU - Proceedings
SP - 147
EP - 154
BT - Proceedings of the 14th International Conference on Computer Supported Education - Volume 2, CSEDU 2022
A2 - Cukurova, Mutlu
A2 - Rummel, Nikol
A2 - Gillet, Denis
A2 - McLaren, Bruce
A2 - Uhomoibhi, James
PB - Science and Technology Publications, Lda
Y2 - 22 April 2022 through 24 April 2022
ER -