Transform based speech enhancement techniques
This thesis presents a detailed study on speech enhancement algorithms in the trans-form domain. The various effects of noise on speech are discussed. The main objectives of this work are to attenuate the noise component of a noisy speech in order to en-hance the quality of the processed speech usin...
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| 格式: | Theses and Dissertations |
| 出版: |
2008
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/3281 |
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| 機構: | Nanyang Technological University |
| 總結: | This thesis presents a detailed study on speech enhancement algorithms in the trans-form domain. The various effects of noise on speech are discussed. The main objectives of this work are to attenuate the noise component of a noisy speech in order to en-hance the quality of the processed speech using transform based filtering algorithms, and to carry out a comprehensive evaluation and comparison of their performances. A literature review of various speech enhancement techniques with a focus on those implemented in the transform domain is presented. The strengths and weaknesses of various transforms such as the Discrete Fourier Transform (DFT), Discrete Co-sine Transform (DCT), Karhunen Loeve Transform (KLT) and Wavelet Transform (WT) are discussed. It also presents a number of commonly used speech enhancement schemes, such as magnitude spectral subtraction, power spectral subtraction, Wiener filter and Minimum Mean Square Error filter. |
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