An open source program to generate zero-thickness cohesive interface elements in existing finite element discretizations is presented. This contribution fills the gap in the literature that, to the best of the author’s knowledge, there is no such program exists. The program is useful in numerical modeling of material/structure failure using cohesive interface elements. The program is able to ge...

In this paper we present a simple method to deal with Blind Source Separation (BSS) of Finite Impulse Response (FIR) convolutive mixtures. The global method proceeds in two steps. The first step consists in separating each source contribution in the mixture. This step provides several filtered version of each source. The second step consists in retrieving the original sources from the set of fi...

HFST – Helsinki Finite-State Technology (hfst.sf.net) is a framework for compiling and applying linguistic descriptions with finitestate methods. HFST currently collects some of the most important finite-state tools for creating morphologies and spellcheckers into one open-source platform and supports extending and improving the descriptions with weights to accommodate the modeling of statistic...

Voice conversion is a technique for modifying a source speaker’s speech to sound as if it was spoken by a target speaker. The conventional solutions to this problem are based on training and applying conversion functions which require a substantial amount of training data from both the source and the target speaker. In this paper, we present a voice conversion technique that requires no preexis...

The ability of the time reversal process to reconstruct sources of finite size relative to a wavelength is investigated. Specifically the quality of the spatial reconstruction of a finite sized source will be presented through the use of time reversal experiments conducted on an aluminum plate. The data presented in the paper show that time reversal can reconstruct a source equally well regardi...

We propose in this paper a language-independent method for syllable segmentation. The method is based on the Sonority Sequencing Principle, by which the sonority inside a syllable increases from its boundaries towards the syllabic nucleus. The sonority function employed was derived from the posterior probabilities of a broad phonetic class recognizer, trained with data coming from an open-sourc...