Speech enhancement methods based on perceptual wavelet filterbank
The extraction and synthesis of quality speech is of utmost importance for a diversity of digital speech processing applications ranging from mobile communication systems, digital hearing aids, quality enhancement of old records, speech recognition systems to hands-free car kits. Most speech process...
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Format: | Thesis |
Language: | English |
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2010
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Online Access: | https://hdl.handle.net/10356/42244 |
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author | Shao, Yu |
author2 | Chang Chip Hong |
author_facet | Chang Chip Hong Shao, Yu |
author_sort | Shao, Yu |
collection | NTU |
description | The extraction and synthesis of quality speech is of utmost importance for a diversity of digital speech processing applications ranging from mobile communication systems, digital hearing aids, quality enhancement of old records, speech recognition systems to hands-free car kits. Most speech processing systems that work well in underrated noise condition degrade drastically in practical noisy environments. Noise induced aggravation causes inaccurate information exchange and lowers the quality of speech. An overwhelming number of methods have been developed over years to address the speech enhancement problem. This thesis investigates into versatile speech enhancement algorithms in order to increase the intelligibility of speech and reduce auditory fatigue. |
first_indexed | 2024-10-01T03:52:01Z |
format | Thesis |
id | ntu-10356/42244 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:52:01Z |
publishDate | 2010 |
record_format | dspace |
spelling | ntu-10356/422442023-07-04T17:06:38Z Speech enhancement methods based on perceptual wavelet filterbank Shao, Yu Chang Chip Hong School of Electrical and Electronic Engineering Tong Yit Chow DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The extraction and synthesis of quality speech is of utmost importance for a diversity of digital speech processing applications ranging from mobile communication systems, digital hearing aids, quality enhancement of old records, speech recognition systems to hands-free car kits. Most speech processing systems that work well in underrated noise condition degrade drastically in practical noisy environments. Noise induced aggravation causes inaccurate information exchange and lowers the quality of speech. An overwhelming number of methods have been developed over years to address the speech enhancement problem. This thesis investigates into versatile speech enhancement algorithms in order to increase the intelligibility of speech and reduce auditory fatigue. DOCTOR OF PHILOSOPHY (EEE) 2010-10-05T07:24:21Z 2010-10-05T07:24:21Z 2009 2009 Thesis Shao, Y. (2009). Speech enhancement methods based on perceptual wavelet filterbank. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/42244 10.32657/10356/42244 en 230 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Shao, Yu Speech enhancement methods based on perceptual wavelet filterbank |
title | Speech enhancement methods based on perceptual wavelet filterbank |
title_full | Speech enhancement methods based on perceptual wavelet filterbank |
title_fullStr | Speech enhancement methods based on perceptual wavelet filterbank |
title_full_unstemmed | Speech enhancement methods based on perceptual wavelet filterbank |
title_short | Speech enhancement methods based on perceptual wavelet filterbank |
title_sort | speech enhancement methods based on perceptual wavelet filterbank |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
url | https://hdl.handle.net/10356/42244 |
work_keys_str_mv | AT shaoyu speechenhancementmethodsbasedonperceptualwaveletfilterbank |