Background: : Due to the difficulties of locally obtaining ZnS(Ag), preliminary investigation of the radioluminescence characterization of Zinc oxide (ZnO) for alpha particle detection was performed. Materials and Methods: The scintillation properties of ZnO films were tested using alpha sources                &nbsp...

The one-microphone speech enhancement, (SE) algorithm as a modification of the extended spectral subtraction (SS) method (ESS) [1] is presented in this paper. The algorithm can be used for the reduction of additive stationary and quasi-stationary colored broad-band noise in noisy speech in hands-free communication terminals as well as in a number of other applications. The achieved noise reduct...

The emerging applications of speech technology especially in the fields of wireless applications, digital hearing aids or speech recognition are often requiring a noise reduction technique in combination with a precise Voice Activity Detector (VAD). In this paper, we compare the performance of the VAD algorithms like Zero Crossing Detection(ZCD), Weak Fricative Detection (WFD), Pitch Based Dete...

Audio–visual speech source separation consists in mixing visual speech processing techniques (e.g., lip parameters tracking) with source separation methods to improve the extraction of a speech source of interest from a mixture of acoustic signals. In this paper, we present a new approach that combines visual information with separation methods based on the sparseness of speech: visual informat...

In this paper, we propose a new speech enhancement system using the wavelet thresholding algorithm. The basic wavelet thresholding algorithm has some defects including the assumption of white Gaussian noise (WGN), malfunction in unvoiced segments, bad auditory quality, etc. In the proposed system, we introduce a new algorithmwhich does not require any voiced/ unvoiced detection system.Also, in ...

The performance of an echo canceller systems deployed in a practical communication environment (i.e. the presence of background noise and the possible double talk scenario) depends on an accurate Voice Activity Detector (VAD) and an effective filter coefficient adaptation strategies. Accuracy of the VAD, which affects the coefficient adaptation strategy, is itself affected by the presence of ba...

In this paper we describe the system proposed by Telefonica research for the Spoken Web Search (SWS) task [3] within the Mediaeval 2013 evaluation. This is the third year we participate in the evaluation and this time we have submitted a system based on the recently proposed Information Retrieval-based Dynamic Time Warping (IR-DTW) Algorithm. This algorithm performs a pattern matching search at...

This work presents a novel approach to speech enhancement by exploiting the bimodality of speech and the correlation that exists between audio and visual speech features. For speech enhancement, a visually-derived Wiener filter is developed. This obtains clean speech statistics from visual features by modelling their joint density and making a maximum a posteriori estimate of clean audio from v...

The "temporal voice areas" (TVAs; Belin et al., 2000) of the human brain show greater neuronal activity in response to human voices than to other categories of non-vocal sounds. However, a direct link between TVA activity and voice perception behavior has not yet been established. Here we show that a functional magnetic resonance imaging measure of activity in the TVAs predicts individual perfo...