Real-Time Recognition of Isolated Vowels

  • Authors:

  • Mara Carvalho;Aníbal Ferreira

  • Affiliations:

  • Faculdade de Engenharia da Universidade do Porto, Porto, Portugal 4200-465 and Seegnal Research, TecMaia - MaiaDigital, Moreira da Maia, Portugal 4470-605;Faculdade de Engenharia da Universidade do Porto, Porto, Portugal 4200-465 and Seegnal Research, TecMaia - MaiaDigital, Moreira da Maia, Portugal 4470-605

  • Venue:
  • PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
  • Year:
  • 2008

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Abstract

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.