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...

Full description

Bibliographic Details
Main Author: Shao, Yu
Other Authors: Chang Chip Hong
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/42244
_version_ 1826115222735159296
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