Abstract
Spectra is usually shown as a two-dimensional graph where colors are directly related to signal levels. A great deal of speech recognition work and research takes this type of parameter directly. In this paper we propose to combine typical signal level values with the vectorial components of a Slope matrix containing orientation information on spectra surfaces. This additional information will enable us to obtain an enhanced speech signal spectra as well as formant evolution detection and a matching method to compare speech spectra sections. The mathematical formalization is based on vector analysis and matrix operations, where the basic components are the normal vectors to a set of triangular surfaces covering the spectral values. This formalism enables the use of mathematical tools (Matlab or similar) in a very easy way; and from here it is possible to program algorithms and visualize the results efficiently.
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Bobadilla, J. (2004). New Speech Enhancement Approach for Formant Evolution Detection. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_35
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DOI: https://doi.org/10.1007/978-3-540-30120-2_35
Publisher Name: Springer, Berlin, Heidelberg
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