Removing noise from audio signals requires a nondiagonal processing of time-frequency
coefficients to avoid producing ldquomusical noise. rdquo State of the art algorithms perform …

Speech processing includes the various techniques such as speech coding, speech
synthesis, speech recognition and speaker recognition. In the area of digital signal …

The length of decomposition results of traditional wavelet packet transform (WPT) will
decrease by half in the next level for downsampling, then the length of sequences in the last …

An automated speaker recognition system for home service robots is proposed in this paper.
In an uncontrolled environment, a speech classifier should be adaptive to different users and …

A successful pre-processing stage based on wavelet denoising algorithm for
electromyography (EMG) signal recognition is proposed. From the limitation of traditional …

Electronic noses (e-noses) are commonly used to monitor air contaminants in space stations
and shuttles. Data preprocessing (measurement denoising and feature extraction) and …

The frequency estimation problem is addressed in this work in the presence of impulsive
noise. Two typical scenarios are considered; that is, the received data are assumed to be …

A Mel scaled M-band wavelet filter bank structure is used to extract the robust acoustic
feature for speech recognition application. The proposed filter bank can provide flexibility of …

This paper proposes two hybrid connectionist structural acoustical models for robust context
independent phone like and word like units for speaker-independent recognition system …

This paper proposes a robust front-end for speech classification which can be employed
with acoustic, visual or audio–visual information, indistinctly. Wavelet multiresolution …