In this work we analyze and implement several audio features. We emphasize our analysis on the ZCR feature and propose a modification making it more robust when signals are near zero. They are all used to discriminate the following audio classes: music, speech, environmental sound. An SVM classifier is used as a classification tool, which has proven to be efficient for audio classification. By ...

Automatic discrimination of speech and music is an important tool in many multimedia applications. Previous work has focused on using long-term features such as differential parameters, variances, and time-averages of spectral parameters. These classifiers use features estimated over windows of 0.5–5 seconds, and are relatively complex. In this paper, we present our results of combining the lin...

Wave periods estimated from satellite altimetry data behave differently from those calculated from buoy data, especially in low-wind conditions. In this paper, the geometric mean wave period is calculated from buoy data, rather than the commonly used zero-crossing wave period . The geometric mean wave period uses the fourth moment of the wave frequency spectrum and is related to the mean-square...

Hybrid systems are inherently fragile with respect to perturbations when their state experiences jumps on surfaces. Zero-crossing detection algorithms are capable of robustly detecting the crossing of such surfaces, but, up to now, the effects of adding such algorithms to the system being simulated are unknown. In this paper, we propose a mathematical model for hybrid systems that incorporates ...

In this paper, we present a content-based classification approach for audio indexing. The classification is based on low level audio features such as temporal sound, energy, fundamental frequency, zero crossing rate, auto correlation curve, and based on transformations such as Short Time Fourier Transform (STFT). The audio classification in classes such as music, noise, silence, and speech is a...

In this paper, a new method for making v/uv decision is developed which uses a multi-feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF) peak of short-time segments of the speech signal by using some clustering methods. This v/uv classifier achieved excellent results for identification of voiced and unvoiced segmen...

164 Abstract— Differences of physiological properties of the glottis and the vocal track are partly due to age and/or gender differences. Since these differences are reflected in the speech signal, acoustic measures related to those properties can be helpful for automatic gender classification. Acoustics measures of voice sources were extracted from 10 utterances spoken by 20 male and 20 female...

Generalized Hermite polynomials in two variables are employed f o r the reconstruction of images from a knowledge of their zero crossing contours. The problem of reconstruction of signals as functions of two variables is not a mere extension of that of a single variable. This is a consequence of the fact that the spatial and spectral characteristics of two-variable functions are quite distinct ...

1 Zero-Crossing Analysis of Lévy Walks and a DDoS Dataset for Real-Time Feature Extraction: Composite and Applied Signal Analysis for Strengthening the Internet-of-Things Against DDoS Attacks; Jesus David Terrazas Gonzalez, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada Witold Kinsner, Department of Electrical and Computer Engineering, University of ...