This paper presents a sample-based phone boundary detection algorithm which can improve the accuracy of phone boundary labeling in speech signal. In the conventional phone labeling method adopted the frame-based approach, some acoustic features, like MFCCs, are used. And, the statistical approaches are employed to find the phone boundary based on these frame-based features. The HMM-based forced...

Periodicities are found in speech signals, musical rhythms, biomedical signals and machine vibrations. In many signal processing applications, signals are assumed to be periodic or quasi-periodic. Especially in acoustic signal processing, signal models based on periodicities have been studied for speech and audio processing. The sinusoidal modelling has been proposed to transform an acoustic si...

This thesis introduces a novel technique for noise robust speech recognition by first describing a speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad classes. These classes are formed by grouping together parts of the acoustic signal that have similar temporal and spectral characteristics, and therefore have much less variability tha...

In this paper, we give a short review of Fibre Bragg Grating (FBG) sensors for the detection of acoustic signals, in particular ultrasound. The primary advantage of FBGs as sensing elements is their spectral encoding of the measurand, which can be either strain or temperature. However, spectral decoding methods cannot be utilized to detect high frequency signals due to their inherent low speed....

This paper is about a method for visual segmentation of TV news. The TV news shows are segmented according to the visual stream from the video TV recordings in this method. Human faces are found in the single visual segments with the help of the fast algorithm for face detection. The found faces are compared with the visual GMMs, that have been trained from the video picture of the single broad...

Impulsive Stimulated Thermal Scattering (ISTS) is an in-situ non-destructive characterization technique based on laser excitation and detection of surface acoustic waves (SAWs) for mechanical properties of thin metal films in the microelectronic industry. In this work, the effect of elastic anisotropy from silicon wafers on ISTS measurements has been studied. It has been shown that for films of...