In previous work [1], we proposed a speaker adaptation technique based on the second subglottal resonance (Sg2), which showed good performance relative to vocal tract length normalization (VTLN). In this paper, we propose a more reliable algorithm for automatically estimating Sg2 from speech signals. The algorithm is calibrated on children’s speech data collected simultaneously with acceleromet...

We supply fitting formulae enabling the normalization of slow-roll inflation models to the four-year COBE data. We fully include the effect of the gravitational wave modes, including the predicted relation of the amplitude of these modes to that of the density perturbations. We provide the normalization of the matter power spectrum, which can be directly used for large-scale structure studies. ...

The stability of neural networks with respect to adversarial perturbations has been extensively studied. One the main strategies consist quantifying Lipschitz regularity networks. In this paper, we introduce a multivariate constant-based analysis fully connected allowing us capture influence each input or group inputs on network stability. Our approach relies suitable re-normalization space, ob...

Recent cosmic microwave background (CMB) measurements over a large range of angular scales have become sensitive enough to provide interesting constraints on cosmological parameters. In the context of adiabatic perturbations in critical density universes, we use CMB measurements to explore the 4-dimensional parameter space having as free parameters Hubble’s constant Ho, baryonic fraction Ωb, th...

micrornas (mirnas) are short, endogenous non-coding rnas that function as guide molecules to regulate transcription of their target messenger rnas. several methods including low-density qpcr arrays are being increasingly used to profile the expression of these molecules in a variety of different biological conditions. reliable analysis of expression profiles demands removal of technical variati...

D-instanton amplitudes suffer from various infrared divergences associated with tachyonic or massless open string modes, leading to ambiguous contribution amplitudes. It has been shown previously that field theory can resolve these ambiguities and lead unambiguous expressions for contributions amplitudes, except an overall normalization constant remains undetermined. In this paper we show theor...

There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is often used to force the distribution of the intensity log ratios to have a median of zero for ea...

Speaker normalization typically focuses on inter-speaker variabilities of the supraglottal (vocal tract) resonances, which constitute a major cause of spectral mismatch. Recent studies have shown that the subglottal airways also affect spectral properties of speech sounds, and promising results were reported using the subglottal resonances for speaker normalization. This paper proposes a reliab...

We first present our sparse and dense interpretations for the top 100 most confident results, ordered by confidence. Confidence is defined as the mean value of the weight image (i.e., the normalization constant Z) and is roughly equivalent to the number of detections, weighted by cablibrated score. We then present results automatically evenly spaced among the remaining results.