WawaSimi: Classification Techniques for Phonological Processes Identification in Children from 3 to 5 Years Old

Baldeon B.; Ravelli R.; Ugarte W. · International Conference on Computer Supported Education, CSEDU - Proceedings (2022) · DOI: 10.5220/0010991300003182

Resumen

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. Copyright

Instituciones: Universidad Peruana de Ciencias Aplicadas