Real-Time Recognition of Isolated Vowels

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

Mara Carvalho (Autor) FEUP; Aníbal Ferreira (Autor) FEUP

Revista

Título: Lecture Notes in Computer Science

Vol. 5078

Páginas: 156-167

ISSN: 0302-9743

Editora: Springer Nature

Indexação

Scopus

COMPENDEX

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

DOI: 10.1007/978-3-540-69369-7_18

Abstract (EN): In this paper we present a new approach to the problem of isolated vowel recognition in real-time. Language learning and speech therapy are examples of application areas that require real-time biofeedback of acoustic features. As the performance of known approaches usually drops for child speakers, we evaluated different alternatives of feature extraction and pattern recognition techniques, including PCA, LDA, ANN and Bayesian classification. In addition, we studied the explicit inclusion of pitch as a main parameter in both simulation and the real-time feature extraction process. Best results were obtained with our dataset when MFCCs are mapped, using LDA, to a 4-dimensional subspace that is followed by Bayesian classification. An interactive game was designed that implements the selected real-time vowel recognition technique.

Idioma: Inglês

Tipo (Avaliação Docente): Científica