Optimal Wavelets for Speech Signal Representations
It is well known that in many speech processing applications, speech signals are characterized by their voiced and unvoiced components. Voiced speech components contain dense frequency spectrum with many harmonics. The periodic or semi-periodic nature of voiced signals lends itself to Fourier Proces...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2003-08-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/002316.pdf
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| _version_ | 1831562313047474176 |
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| author | Shonda L. Walker Simon Y. Foo |
| author_facet | Shonda L. Walker Simon Y. Foo |
| author_sort | Shonda L. Walker |
| collection | DOAJ |
| description | It is well known that in many speech processing applications, speech signals are characterized by their voiced and unvoiced components. Voiced speech components contain dense frequency spectrum with many harmonics. The periodic or semi-periodic nature of voiced signals lends itself to Fourier Processing. Unvoiced speech contains many high frequency components and thus resembles random noise. Several methods for voiced and unvoiced speech representations that utilize wavelet processing have been developed. These methods seek to improve the accuracy of wavelet-based speech signal representations using adaptive wavelet techniques, superwavelets, which uses a linear combination of adaptive wavelets, gaussian methods and a multi-resolution sinusoidal transform approach to mention a few. This paper addresses the relative performance of these wavelet methods and evaluates the usefulness of wavelet processing in speech signal representations. In addition, this paper will also address some of the hardware considerations for the wavelet methods presented. |
| first_indexed | 2024-12-17T10:36:14Z |
| format | Article |
| id | doaj.art-fc1a57cf38ab44d2b8107638021b45fe |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-12-17T10:36:14Z |
| publishDate | 2003-08-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-fc1a57cf38ab44d2b8107638021b45fe2022-12-21T21:52:23ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-08-01144446Optimal Wavelets for Speech Signal RepresentationsShonda L. Walker0Simon Y. Foo1 Electrical Engineering Department, Florida A&M University Electrical Engineering Department, Florida A&M University It is well known that in many speech processing applications, speech signals are characterized by their voiced and unvoiced components. Voiced speech components contain dense frequency spectrum with many harmonics. The periodic or semi-periodic nature of voiced signals lends itself to Fourier Processing. Unvoiced speech contains many high frequency components and thus resembles random noise. Several methods for voiced and unvoiced speech representations that utilize wavelet processing have been developed. These methods seek to improve the accuracy of wavelet-based speech signal representations using adaptive wavelet techniques, superwavelets, which uses a linear combination of adaptive wavelets, gaussian methods and a multi-resolution sinusoidal transform approach to mention a few. This paper addresses the relative performance of these wavelet methods and evaluates the usefulness of wavelet processing in speech signal representations. In addition, this paper will also address some of the hardware considerations for the wavelet methods presented.http://www.iiisci.org/Journal/CV$/sci/pdfs/002316.pdf super waveletsSpeech recognitionspeech codingquadrature spline waveletsadaptive wavelets |
| spellingShingle | Shonda L. Walker Simon Y. Foo Optimal Wavelets for Speech Signal Representations Journal of Systemics, Cybernetics and Informatics super wavelets Speech recognition speech coding quadrature spline wavelets adaptive wavelets |
| title | Optimal Wavelets for Speech Signal Representations |
| title_full | Optimal Wavelets for Speech Signal Representations |
| title_fullStr | Optimal Wavelets for Speech Signal Representations |
| title_full_unstemmed | Optimal Wavelets for Speech Signal Representations |
| title_short | Optimal Wavelets for Speech Signal Representations |
| title_sort | optimal wavelets for speech signal representations |
| topic | super wavelets Speech recognition speech coding quadrature spline wavelets adaptive wavelets |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/002316.pdf
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| work_keys_str_mv | AT shondalwalker optimalwaveletsforspeechsignalrepresentations AT simonyfoo optimalwaveletsforspeechsignalrepresentations |