Poesia, ritme i entonació

En aquest article, presentem un estudi experimental per descriure quins són els aspectes fònics més rellevants que afavoreixen la qualitat de la recitació d"un poema. Ens hem basat en la lectura de cinc poemes, recitats pels mateixos autors (Maria Cabrera, Enric Casasses, Meritxell Cucurella-Jorba, Pau Riba i Joana Raspall), amb interpretacions ben característiques i singulars. L"estudi consisteix a analitzar, en una aplicació d"anàlisi i síntesi de veu, els trets entonatius bàsics, el tipus de ritme, la posició i la llargària de les pauses, i els canvis d"intensitat i de velocitat. Els resultats que n"hem obtingut ens ofereixen eines objectives que ens poden ajudar a millorar la pràctica de la lectura i la recitació de poemes en català en els diversos nivells educatius.

Highly efficient, multigram and enantiopure synthesis of (S)-2-(2,4′-bithiazol-2-yl)pyrrolidine

(S)-2-(4-Bromo-2,4"-bithiazole)-1-(tert-butoxycarbonyl)pyrrolidine ((S)-1) was obtained as a single enantiomer and in high yield by means of a two-step modified Hantzsch thiazole synthesis reaction when bromoketone 3 and thioamide (S)-4 were used. Further conversion of (S)-1 into trimethyltin derivative (S)-2 broadens the scope for further cross-coupling reactions.

Thiopeptide antibiotics: retrospective and recent advances

Thiopeptides, or thiazolyl peptides, are a relatively new family of antibiotics that already counts with more than one hundred different entities. Although they are mainly isolated from soil bacteria, during the last decade, new members have been isolated from marine samples. Far from being limited to their innate antibacterial activity, thiopeptides have been found to possess a wide range of biological properties, including anticancer, antiplasmodial, immunosuppressive, etc. In spite of their ribosomal origin, these highly posttranslationally processed peptides have posed a fascinating synthetic challenge, prompting the development of various methodologies and strategies. Regardless of their limited solubility, intensive investigations are bringing thiopeptide derivatives closer to the clinic, where they are likely to show their veritable therapeutic potential.

Source separation techniques applied to linear prediction

The prediction filters are well known models for signal estimation, in communications, control and many others areas. The classical method for deriving linear prediction coding (LPC) filters is often based on the minimization of a mean square error (MSE). Consequently, second order statistics are only required, but the estimation is only optimal if the residue is independent and identically distributed (iid) Gaussian. In this paper, we derive the ML estimate of the prediction filter. Relationships with robust estimation of auto-regressive (AR) processes, with blind deconvolution and with source separation based on mutual information minimization are then detailed. The algorithm, based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics. Experimental results emphasize on the interest of this approach.

Nonlinear prediction based on score function

The linear prediction coding of speech is based in the assumption that the generation model is autoregresive. In this paper we propose a structure to cope with the nonlinear effects presents in the generation of the speech signal. This structure will consist of two stages, the first one will be a classical linear prediction filter, and the second one will model the residual signal by means of two nonlinearities between a linear filter. The coefficients of this filter are computed by means of a gradient search on the score function. This is done in order to deal with the fact that the probability distribution of the residual signal still is not gaussian. This fact is taken into account when the coefficients are computed by a ML estimate. The algorithm based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics and is based on blind deconvolution of Wiener systems [1]. Improvements in the experimental results with speech signals emphasize on the interest of this approach.

Alzheimer Disease Diagnosis based on Automatic Spontaneous Speech Analysis

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis is sometimes made by excluding other dementias, and definitive confirmation must be done trough a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to improvement of early diagnosis of AD and its degree of severity, from an automatic analysis performed by non-invasive intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that have the great advantage of being non invasive, low cost and without any side effects.

On cumulant techniques in speech processing

This paper analyzes applications of cumulant analysis in speech processing. A special focus is made on different second-order statistics. A dominant role is played by an integral representation for cumulants by means of integrals involving cyclic products of kernels.

Exploring Non-linear Transformations for an Entropybased Voice Activity Detector

In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD). The idea of using a non-linear transformation comes from some previous work done in speech linear prediction (LPC) field based in source separation techniques, where the score function was added into the classical equations in order to take into account the real distribution of the signal. We explore the possibility of estimating the entropy of frames after calculating its score function, instead of using original frames. We observe that if signal is clean, estimated entropy is essentially the same; but if signal is noisy transformed frames (with score function) are able to give different entropy if the frame is voiced against unvoiced ones. Experimental results show that this fact permits to detect voice activity under high noise, where simple entropy method fails.

Spontaneous Speech and Emotional Response modeling based on One-class classifier oriented to Alzheimer Disease diagnosis

The purpose of our project is to contribute to earlier diagnosis of AD and better estimates of its severity by using automatic analysis performed through new biomarkers extracted from non-invasive intelligent methods. The methods selected in this case are speech biomarkers oriented to Sponta-neous Speech and Emotional Response Analysis. Thus the main goal of the present work is feature search in Spontaneous Speech oriented to pre-clinical evaluation for the definition of test for AD diagnosis by One-class classifier. One-class classifi-cation problem differs from multi-class classifier in one essen-tial aspect. In one-class classification it is assumed that only information of one of the classes, the target class, is available. In this work we explore the problem of imbalanced datasets that is particularly crucial in applications where the goal is to maximize recognition of the minority class as in medical diag-nosis. The use of information about outlier and Fractal Dimen-sion features improves the system performance.

Online drawings for dementia diagnose: in-air and pressure information analysis

In this paper we present experimental results comparing on-line drawings for control population (left and right hand) as well as Alzheimer disease patients. The drawings have been acquired by means of a digitizing tablet, which acquires time information angles and pressures. Experimental measures based on pressure and in-air movements appear to be significantly different for both groups, even when control population performs the tasks with the non-dominant hand.

Bancs de proves per motors de modelisme

Són habituals entre els aeromodelistes les discussions que giren al voltant de la potència dels motors d’explosió i quina hèlix va millor. La manca d’informació tècnica dels motors i de les hèlix fa que aquestes discussions de vegades tinguin una validesa molt limitada, doncs es fonamenten simplement en les sensacions i percepcions subjectives de cadascun dels pilots, sobretot quan es parla de potència. En aquest projecte s’utilitzarà un dinamòmetre inercial, consistent en un volant d’inèrcia el qual s’accelerarà fins assolir les revolucions per minut màximes. La acceleració d’aquest volant mesurat en intervals de temps regulars i conegut el moment d’inèrcia del volant ens permetrà calcular el parell motor i la potència a diferents règims de revolucions per minut. Per altra banda es pretén comparar diferents hèlix muntades en un mateix motor per poder-ne comparar la tracció a diferents revolucions per minut. La tracció es mesurarà utilitzant una cèl·lula de càrrega. Les dades d’ambdós bancs de proves seran recollits i emmagatzemats per un PC amb un software fet a mida per aquest projecte. Una vegada finalitzat cada test es mostraran les dades obtingudes, tant els numèricament com gràficament, permetent a més comparar el resultat de diferents tests, de diferents motors i de diferents hèlix.

Punto de encuentro: la vida es un tango y la muerte un pasodoble

Les persones compartim amb la resta d’ésser vius el fet de néixer, de créixer i de reproduir-nos, però, l’etapa de la mort la obviem o l’intentem amagar. Quan ens referim a les persones, parlem de l’última etapa del cicle vital anomenant-la vellesa, excloent així la mort de les etapes que formen el cicle. Punto de encuentro és un documental que parla d’aquesta etapa, de la vellesa, de com és viscuda, amb quines sensacions s’hi arriba, quin és el balanç o la reflexió que fan els avis quan ja han viscut tants anys i han acumulat tantes experiències. S’hi inclouen molts temes, la política, la soledat, la tristesa, les coses bones que té estar jubilat, com és el dia a dia d’una persona gran quan viu tota sola, els records de temps passats. Tot això ho podrem descobrir al documental a través del punt de vista i la pròpia experiència l’experiència dels protagonistes de Punto de encuentro: la Maria, el Bernabé, la Paquita i l’Albino.

An enantioselective synthetic route to cis-2,4-disubstituted and 2,4-bridged piperidines

A synthetic route to enantiopure cis-2,4-disubstituted and 2,4-bridged piperidines is reported, the key step being a stereoselective conjugate addition of an organocuprate to a phenylglycinol-derived unsaturated lactam bearing a substituent at the 8a-position.

Sintesi i caracteritzacio dels materials multiferroics BiFeO3, La: BiFeO3 i Sr: BiFeO3

Recentment, ha crescut un notable interès pels materials multiferroics (o materials que presenten simultàniament propietats elèctriques i magnètiques), a causa de les seves múltiples aplicacions, sobretot en el camp de l"electrònica. Aquest article pretén donar a conèixer els materials multiferroics, tant des del punt de vista de la física fonamental com de la química de l"estat sòlid. Tanmateix, es presentarà un dels materials multiferroics actualment més estudiats i s"exposaran els detalls de la seva síntesi i caracterització habituals en la química de l"estat sòlid.

Stereoselective Synthesis of (-)-Spicigerolide

(-)-Spicigerolide was enantioselectively synthesized from a protected (S)-lactaldehyde. The synthesis of the polyacetylated framework relied on two Zn-mediated stereoselective additions of alkynes to aldehydes as well as a regiocontrolled [3,3]-sigmatropic rearrangement of an allylic acetate. The pyranone moiety was constructed via ring-closing metathesis.