In this paper we explore the use of features derived from multiresolution analysis of speech and the Teager Energy Operator for classiication of drivers' speech under stressed conditions. We apply this set of features to a database of short speech utterances to create user-dependent discriminants of four stress categories. In addition we address the problem of choosing a suitable temporal scale...

This paper proposes a novel multiple amplitude modulation and frequency (AM–FM) demodulation method based on local signal bispectrum (LMSB), which can demodulate the fault features of different components from gearbox with multi-mesh bands multi-modulation components. Firstly, collected measurement is decomposed into series sub-band signals, generated signals are demodulated by (MSB), realizes ...

An objective distance measure which is able to predict audible discontinuities in concatenative speech synthesis systems is very important. Previous results showed that linear approaches are not very effective to detect audible discontinuities. The best result was obtained by using the Kullback-Leibler distance on power spectra with the rate of 37%. In this paper, we present two nonlinear appro...

In this paper, three systems for classification of stress in speech are proposed. The first system makes use of linear short time Log Frequency Power Coefficients (LFPC), the second employs Teager Energy Operator (TEO) based Nonlinear Frequency Domain LFPC features (NFD-LFPC) and the third uses TEO based Nonlinear Time Domain LFPC features (NTD-LFPC). The systems were tested using SUSAS (Speech...

A dual transmission model of the fetal heart sounds is presented in which the properties of the signals received on a sensor, installed on the maternal abdominal surface, depend upon the position of the fetus. For a fetus in the occiput anterior position, the predominant spectral content lies in the frequency band 16-50Hz ("impact" mode), but for a fetus in the occiput posterior position, it li...

Effective feature extraction for robust speech recognition is a widely addressed topic and currently there is much effort to invoke non-stationary signal models instead of quasi-stationary signal models leading to standard features such as LPC or MFCC. Joint amplitude modulation and frequency modulation (AM-FM) is a classical non-parametric approach to nonstationary signal modeling and recently...

This paper describes a low-complexity and efficient speech classifier for noisy environments. The proposed algorithm utilizes the advantage of time-scale analysis of the Wavelet decomposition to classify speech frames into voiced, unvoiced and silence classes. The classifier uses only one single multidimensional feature which is extracted from the Teager energy operator of the wavelet coefficie...

In order to effectively identify and extract the composite fault characteristics of gear transmission system, a diagnosis method combining nonlinear mode decomposition (NMD) Teager energy operator demodulation is proposed. Because envelope Hilbert transform has disadvantages large amount calculation end effect, it uses solve problem calculation, NMD solves that signal features not easy under al...

A new algorithm is proposed in order to detect and quantify partially broken bars induction motors during start-up without load. In the qualification process, no threshold used. It uses principle of harmonic generated by bar stator current, it should vary with slip confirm failure provide more security diagnosis. severity index also proposed, based on maximum peaks Teager energy operator Gaussi...