A novel method for wavelet quantization of noisy speech
This paper proposes an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multiresolution signal components using the wavelet transform. An iterative Wiener filtering is used at each level of wavelet analysis to enhance speech. The system model that evolv...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/142735 |
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Institution: | Nanyang Technological University |
Language: | English |
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