0000000001083894

AUTHOR

Ylenia Galluzzo

showing 2 related works from this author

A perceptual sound space for auditory displays based on sung-vowel synthesis.

2022

AbstractWhen designing displays for the human senses, perceptual spaces are of great importance to give intuitive access to physical attributes. Similar to how perceptual spaces based on hue, saturation, and lightness were constructed for visual color, research has explored perceptual spaces for sounds of a given timbral family based on timbre, brightness, and pitch. To promote an embodied approach to the design of auditory displays, we introduce the Vowel–Type–Pitch (VTP) space, a cylindrical sound space based on human sung vowels, whose timbres can be synthesized by the composition of acoustic formants and can be categorically labeled. Vowels are arranged along the circular dimension, whi…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSound modelspacesMultidisciplinarySonificationSound SpectrographySoundSettore INF/01 - InformaticaSound information&nbspSpeech PerceptionHumansSingingAuditory displaysScientific reports
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Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark

2021

With the rapid growth of Next Generation Sequencing (NGS) technologies, large amounts of "omics" data are daily collected and need to be processed. Indexing and compressing large sequences datasets are some of the most important tasks in this context. Here we propose algorithms for the computation of Burrows Wheeler transform relying on Big Data technologies, i.e., Apache Spark and Hadoop. Our algorithms are the first ones that distribute the index computation and not only the input dataset, allowing to fully benefit of the available cloud resources.

FOS: Computer and information sciencesComputer Science - Distributed Parallel and Cluster ComputingComputer Science - Data Structures and AlgorithmsData_FILESData Structures and Algorithms (cs.DS)Distributed Parallel and Cluster Computing (cs.DC)
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