DISCUSSION DU MÉCANISME DES RÉACTIONS DE TRANSFERT TRÈS INÉLASTIQUE

Sous ce terme sont englobées les réactions qui mettent en jeu des échanges importants de matière et d'énergie, sans aboutir à la fusion complète des partenaires. Lorsque le projectile utilisé est relativement léger (A < 40), on observe des réactions de transfert très inélastique dont les distributions angulaires dans le système du centre de masse correspondent à un produit léger émis préférentiellement vers l'avant, et pour des projectiles plus lourds, des réactions dites de quasi-fission dont les distributions angulaires présentent un maximum proche de l'angle d'effleurement. Les modèles théoriques utilisés pour rendre compte de ces réactions supposent l'intervention de forces de frottement (viscosité) entre les noyaux. Ces forces sont responsables des grandes pertes d'énergie cinétique observées. Le transfert de matière est traité comme un processus de diffusion en utilisant les équations de transfert issues de la mécanique statistique

LES PROGRAMMES EXPERIMENTAUX AUPRES DU SYNCHROCYCLOTRON D'ORSAY

Les programmes expérimentaux auprès du S.C. d'Orsay ont commencé il y a un an environ. L'accélérateur est une machine stable mais présentant quelques défauts de jeunesse. De nombreuses voies de recherches amorcées avec un certain succès sont décrites ci-dessous

A Monte-Carlo Method For Score Normalization in Automatic Speaker Verification Using Kullback-Leibler Distances

In this paper, we propose a new score normalization technique in Automatic Speaker Verification (ASV): the D-Norm. The main advantage of this score normalization is that it does not need any additional speech data nor external speaker population, as opposed to the state-ofthe-art approaches. The D-Norm is based on the use of Kullback-Leibler (KL) distances in an ASV context. In a first step, we estimate the KL distances with a Monte-Carlo method and we experimentally show that they are correlated with the verification scores. In a second step, we use this correlation to implement a score normalization procedure, the D-Norm. We analyse its performance and we compare it to that of a conventional normalization, the Z-Norm. The results show that performance of the D-Norm is comparable to that of the Z-Norm. We then conclude about the results we obtain and we discuss the applications of this work.

Zero-resource audio-only spoken term detection based on a combination of template matching techniques

spoken term detection, template matching, unsupervised learning, posterior featuresInternational audienceSpoken term detection is a well-known information retrieval task that seeks to extract contentful information from audio by locating occurrences of known query words of interest. This paper describes a zero-resource approach to such task based on pattern matching of spoken term queries at the acoustic level. The template matching module comprises the cascade of a segmental variant of dynamic time warping and a self-similarity matrix comparison to further improve robustness to speech variability. This solution notably differs from more traditional train and test methods that, while shown to be very accurate, rely upon the availability of large amounts of linguistic resources. We evaluate our framework on different parameterizations of the speech templates: raw MFCC features and Gaussian posteriorgrams, French and English phonetic posteriorgrams output by two different state of the art phoneme recognizers

Supplementary material to the article: Estimating the structural segmentation of popular music pieces under regularity constraints

This document gathers descriptions of the structural segmentation systems considered in the IEEE/ACM TASLP paper by the same authors

Observation of coherent π0\pi^0 electroproduction on deuterons at large momentum transfer

The first experimental results for coherent $\pi^0$-electroproduction on the deuteron, $e+d\to e+d +\pi^0$, at large momentum transfer, are reported. The experiment was performed at Jefferson Laboratory at an incident electron energy of 4.05 GeV. A large pion production yield has been observed in a kinematical region for 1.1$<Q^2<$1.8 GeV$^2$, from threshold to 200 MeV excitation energy in the $d\pi^0$ system. The $Q^2$-dependence is compared with theoretical predictions.Comment: 26 page

Methodological and musicological investigation of the System & Contrast model for musical form description

The semiotic description of music structure aims at representing the high-level organization of music pieces in a concise, generic and reproducible way as a low-rate stream of arbitrary symbols from a limited alphabet, which results into a sequence of " semiotic units ". In this context, the purpose of the System & Contrast model is to address the internal organization of the semiotic units. In this report, the System & Contrast model is approached from different angles in relation to varied disciplines : cognitive psychology, music analysis and information theory. After establishing a number of links between the System & Contrast model and other approaches of music structure, the model is illustrated on studio-based popular music pieces, as well as on music from the classical Viennese period

Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis

Music Structure Analysis (MSA) consists of representing a song in sections (such as ``chorus'', ``verse'', ``solo'' etc), and can be seen as the retrieval of a simplified organization of the song. This work presents a new algorithm, called Convolutive Block-Matching (CBM) algorithm, devoted to MSA. In particular, the CBM algorithm is a dynamic programming algorithm, applying on autosimilarity matrices, a standard tool in MSA. In this work, autosimilarity matrices are computed from the feature representation of an audio signal, and time is sampled on the barscale. We study three different similarity functions for the computation of autosimilarity matrices. We report that the proposed algorithm achieves a level of performance competitive to that of supervised state-of-the-art methods on 3 among 4 metrics, while being fully unsupervised.Comment: 4 pages, 5 figures, 1 table. Submitted at ICASSP 2023. The associated toolbox is available at https://gitlab.inria.fr/amarmore/autosimilarity_segmentatio

Well-posedness of the permutation problem in sparse filter estimation with lp minimization

Convolutive source separation is often done in two stages: 1) estimation of the mixing filters and 2) estimation of the sources. Traditional approaches suffer from the ambiguities of arbitrary permutations and scaling in each frequency bin of the estimated filters and/or the sources, and they are usually corrected by taking into account some special properties of the filters/sources. This paper focusses on the filter permutation problem in the absence of scaling, investigating the possible use of the temporal sparsity of the filters as a property enabling permutation correction. Theoretical and experimental results highlight the potential as well as the limits of sparsity as an hypothesis to obtain a well-posed permutation problem