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Published in:
2006 | OriginalPaper | Chapter
WFT – Context-Sensitive Speech Signal Representation
Authors : Jakub Gałka, Michał Kępiński
Published in: Intelligent Information Processing and Web Mining
Publisher: Springer Berlin Heidelberg
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Progress of automatic speech recognition systems’ (ASR) development is, inter alia, made by using signal representation sensitive for more and more sophisticated features. This paper is an overview of our investigation of the new context-sensitive speech signal’s representation, based on wavelet-Fourier transform (WFT), and proposal of it’s quality measures. The paper is divided into 5 sections, introducing as follows: phonetic-acoustic contextuality in speech, basics of WFT, WFT speech signal feature space, feature space quality measures and finally conclusion of our achievements.