This paper presents a novel feature extraction scheme taking advantage of both the nonlinear modulation speech model and the spatial diversity of speech and noise signals in a multisensor environment. Herein, we propose applying robust features to speech signals captured by a multisensor array minimizing a noise energy criterion over multiple frequency bands. We show that we can achieve improve...

Abstract Objective . Accurate identification of surface electromyography (EMG) muscle onset is vital when examining short temporal parameters such as electromechanical delay. The visual method considered the ‘gold standard’ in detection. Automatic detection methods are commonly employed to increase objectivity and reduce analysis time, but it unclear if they sensitive enough accurately detect E...

Electromyographic (EMG) signals play a key role in many clinical and biomedical applications. They can be used for identifying patients with muscular disabilities, assessing lower-back pain, kinesiology and motor control. There are three common applications of the EMG signal: (1) to determine the activation timing of the muscle; (2) to estimate the force produced by the muscle and (3) to analyz...

The speech production system is capable of conveying an abundance of information with regards to sentence text, speaker identity, prosodics, as well as emotion and speaker stress. In an eeort to better understand the mechanism of human voice communication, researchers have attempted to determine reliable acoustic indicators of stress using such speech production features as fundamental frequenc...

We propose a new approach to improve the performance of speech enhancement techniques based on wavelet thresholding. First, space–adaptation of the threshold is obtained by extending the principle of the level–dependent threshold to the Wavelet Packet Transform (WPT). Next, the time–adaptation is introduced using the Teager Energy Operator (TEO) of the wavelets coefficients. Finally, the time–s...

Rolling element bearings are among the most important components of rotating machinery, being interface between stationary and parts. Bearing failures might cause accidents unexpected machine breakdown. Therefore, there is an need for novel condition monitoring techniques focusing towards early detection accurate identification emerging faults. The key aim this paper proposal concept Multiband ...