scholarly journals Comparative Study of Wavelet and Wavelet Packet Transform for Denoising Telephonic Speech Signal

2015 ◽  
Vol 110 (15) ◽  
pp. 1-8
Author(s):  
Gautam Kumar ◽  
Sugandh Kumar ◽  
Nitendra Kumar
Keyword(s):  
Comparative Study ◽  
Speech Signal ◽  
Wavelet Packet ◽  
Wavelet Packet Transform

Single-Channel Noise Reduction for Multiple Background Noises Using Perceptual Wavelet Packet Transform and Fuzzy Logic

2004 ◽  
Vol 8 (6) ◽  
pp. 613-620
Author(s):  
Montri Phothisonothai ◽  
◽  
Pinit Kumhom ◽  
Kosin Chamnongthai
Keyword(s):  
Noise Reduction ◽  
Speech Signal ◽  
Single Channel ◽  
Wavelet Packet ◽  
Average Energy ◽  
Wavelet Packet Transform ◽  
Mobile Telephone ◽  
Channel Noise ◽  
Rule Base ◽  
Inference System

Background noises interfere with communication devices such as mobile telephone, digital hearing aid, etc. Therefore noise reduction (NR) part for limiting the effect of these noises is important. The paper proposes a noise reduction method based on the soft decision-making by the fuzzy inference system (FIS). The different characteristics of noises frequently occurring are used for creating the fuzzy decision rule base of the FIS. The FIS have two input parameters: the average energy and the difference of the average energy. The analysis of the FIS is done in the domain of the perceptual wavelet packet transform (PWPT) that is the human’s psychoacoustic model. The output of the FIS is used to modify the PWPT coefficients in such a way that it is more likely that the noise components are reduced while the speech signal is enhanced. The enhanced speech signal is the result of the inverse perceptual wavelet packet transform (IPWPT) of the modified coefficients. The experiment results show that the proposed method gives lower distortion than do the conventional methods especially when the input signal-to-noise ratio (SNR) is low; e.g. at SRN at 0dB the proposed method improves the output SNR level up to 4.18dB.

scholarly journals IMAGE HIDING ON HIGH FREQUENCY SPEECH COMPONENTS USING WAVELET PACKET TRANSFORM

2018 ◽  
Vol 44 (1) ◽  
pp. 36-39
Author(s):  
Mohammed Al-Turfi
Keyword(s):  
Speech Signal ◽  
High Frequency ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Image Hiding ◽  
The Media ◽  
Embedded Image ◽  
Reconstruction Rate

This paper propose a method for security threw hiding the image inside the speech signal by replacing the high frequencycomponents of the speech signal with the data of the image where the high frequency speech components are separated and analyzed usingthe Wavelet Packet Transform (WPT) where the new signal will be remixed to create a new speech signal with an embedded image. The algorithm is implemented on MATLAB 15 and is designed to achieve best image hiding where the reconstruction rate was more than 94% while trying to maintain the same size of the speech signal to overcome the need for a powerful channel to handle the task. Best results were achieved with higher speech resolution (higher number of bits per sample) and longer periods (higher number of samples in the media file).

Mistuning identification in a bladed disk using wavelet packet transform

2017 ◽  
Vol 229 (3) ◽  
pp. 1275-1295 ◽  
Author(s):  
N. Jamia ◽  
P. Rajendran ◽  
S. El-Borgi ◽  
M. I. Friswell
Keyword(s):  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Bladed Disk

Use of Wavelet Packet Transform in Characterization of Surface Quality

2007 ◽  
Vol 46 (15) ◽  
pp. 5152-5158 ◽  
Author(s):  
J. Jay Liu ◽  
Daeyoun Kim ◽  
Chonghun Han
Keyword(s):  
Surface Quality ◽  
Wavelet Packet ◽  
Wavelet Packet Transform
Sign in / Sign up

Export Citation Format

Share Document