Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. Therefore, the voice signal can be a useful tool to diagnose them. Acoustic voice analysis can be used to characterize the pathological voices. This paper presents the detection of ...

An overview is presented of current worldwide activities in the field of the acoustic detection of ultra-high energy neutrinos. Emphasis is placed on recent results from test experimental setups, simulation work, sensitivity calculations and on data taken at deep-water deployments. 1. Motivation As reported elsewhere at this conference ultra-high energy (UHE) neutrinos are important cosmic prob...

This paper provides a probabilistic analysis of simple detection systems which are based on thresholding feature values extracted from a sensor signal. For such systems, this paper explains how to calculate the probability of detection as a function of range from the sensor to the object of interest. This function is important in that it enables optimal positioning of a group of sensors, either...

A classification method is presented that detects the presence of speech embedded in a real acoustic background of non-speech sounds. Features used for classification are modulation components extracted by computation of the amplitude modulation spectrogram. Feature selection techniques and support vector classification are employed to identify modulation components most salient for the classif...

With the wider deployment of automatic speech recognition (ASR) systems, the importance of robust speech activity detection has been elevated both as a means of reducing bandwidth in client/server ASR and for overall system stability from barge-in through the recognition process. In this paper we investigate a novel technique for speech activity detection, that we have found to be effective in ...

This research focuses on the application of an acousto-ultrasonics (AU) technique, a combination ultrasonic characterization and acoustic emission, to nondestructively detect defects such as voids in bonded metal/composite assemblies. Computational methods are established examine effects collected signal. The position receiver sensor with respect defect is also investigated. Given specific stru...

The detection of voice activity is a challenging problem, especially when the level of acoustic noise is high. Most current approaches only utilise the audio signal, making them susceptible to acoustic noise. An obvious approach to overcome this is to use the visual modality. The current state-of-the-art visual feature extraction technique is one that uses a cascade of visual features (i.e. 2D-...