Citation: Tsirigotis A and Deligianni DD (2017) Combining Digital Image Correlation and Acoustic Emission for Monitoring of the Strain Distribution until Yielding during Compression of Bovine Cancellous Bone. Front. Mater. 4:44. doi: 10.3389/fmats.2017.00044 combining Digital image correlation and acoustic emission for Monitoring of the strain Distribution until Yielding during compression of B...

The low head hydro power plant in Wettingen, Switzerland, is in operation since 1933 and no effective cam optimization has been carried out up to now. The goal of the measuring campaign was to provide data enabling an economic study for a retrofit and upgrade project of the plant and the measurement of the efficiency improvement of turbines after refurbishment. The contribution discusses cam te...

The aim of this work is to develop methods that enable acoustic speech features to be predicted from mel-frequency cepstral coefficient (MFCC) vectors as may be encountered in distributed speech recognition architectures. The work begins with a detailed analysis of the multiple correlation between acoustic speech features and MFCC vectors. This confirms the existence of correlation, which is fo...

This paper aims to explore some acoustic properties (i.e. duration and pitch amplitude of speech) associated with three different emotions: anger, sadness and joy against neutrality as a reference point, all being intentionally expressed by six Persian speakers. The primary purpose of this study is to find out if there is any correspondence between the given emotions and prosody patterning in P...

This paper presents an investigation into predicting the movement of a speaker’s mouth from text input using hidden Markov models (HMM). A corpus of human articulatory movements, recorded by electromagnetic articulography (EMA), is used to train HMMs. To predict articulatory movements for input text, a suitable model sequence is selected and a maximum-likelihood parameter generation (MLPG) algo...

this paper aims to explore some acoustic properties (i.e. duration and pitch amplitude of speech) associated with three different emotions: anger, sadness and joy against neutrality as a reference point, all being intentionally expressed by six persian speakers. the primary purpose of this study is to find out if there is any correspondence between the given emotions and prosody patterning in p...

This paper investigates the statistical relationship between acoustic and visual speech features for vowels. We extract such features from our stereo vision AV speech data corpus of Australian English. A principal component analysis is performed to determine which data points of the parameter curve for each feature are the most important ones to represent the shape of each curve. This is follow...

This paper investigates the statistical relationship between acoustic and visual speech features for vowels. We extract such features from our stereo vision AV speech data corpus of Australian English. A principal component analysis is performed to determine which data points of the parameter curve for each feature are the most important ones to represent the shape of each curve. This is follow...