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of 40
pro vyhledávání: '"La Quatra Moreno"'
Autor:
Khan, Muhammad Salman, La Quatra, Moreno, Hung, Kuo-Hsuan, Fu, Szu-Wei, Siniscalchi, Sabato Marco, Tsao, Yu
Self-supervised representation learning (SSL) has attained SOTA results on several downstream speech tasks, but SSL-based speech enhancement (SE) solutions still lag behind. To address this issue, we exploit three main ideas: (i) Transformer-based ma
Externí odkaz:
http://arxiv.org/abs/2408.04773
Autor:
La Quatra, Moreno, Turco, Maria Francesca, Svendsen, Torbjørn, Salvi, Giampiero, Orozco-Arroyave, Juan Rafael, Siniscalchi, Sabato Marco
This work is concerned with devising a robust Parkinson's (PD) disease detector from speech in real-world operating conditions using (i) foundational models, and (ii) speech enhancement (SE) methods. To this end, we first fine-tune several foundation
Externí odkaz:
http://arxiv.org/abs/2406.16128
Italy exhibits rich linguistic diversity across its territory due to the distinct regional languages spoken in different areas. Recent advances in self-supervised learning provide new opportunities to analyze Italy's linguistic varieties using speech
Externí odkaz:
http://arxiv.org/abs/2406.15862
Autor:
Chao, Rong, Cheng, Wen-Huang, La Quatra, Moreno, Siniscalchi, Sabato Marco, Yang, Chao-Han Huck, Fu, Szu-Wei, Tsao, Yu
This work aims to study a scalable state-space model (SSM), Mamba, for the speech enhancement (SE) task. We exploit a Mamba-based regression model to characterize speech signals and build an SE system upon Mamba, termed SEMamba. We explore the proper
Externí odkaz:
http://arxiv.org/abs/2405.06573
Autor:
La Quatra, Moreno, Koudounas, Alkis, Vaiani, Lorenzo, Baralis, Elena, Cagliero, Luca, Garza, Paolo, Siniscalchi, Sabato Marco
Limited diversity in standardized benchmarks for evaluating audio representation learning (ARL) methods may hinder systematic comparison of current methods' capabilities. We present ARCH, a comprehensive benchmark for evaluating ARL methods on divers
Externí odkaz:
http://arxiv.org/abs/2405.00934
Autor:
Raus Rachele, Tonti Michela, Cerquitelli Tania, Cagliero Luca, Attanasio Giuseppe, La Quatra Moreno, Greco Salvatore
Publikováno v:
SHS Web of Conferences, Vol 138, p 01007 (2022)
Cet article présente le projet E-MIMIC, une application qui vise à éliminer les préjugés et la non-inclusion dans les textes administratifs rédigés dans les pays européens, à commencer par ceux qui sont rédigés dans les langues romanes. Il
Externí odkaz:
https://doaj.org/article/8ddbeba0591a4970871e0f542180ece1
Autor:
Koudounas, Alkis, La Quatra, Moreno, Vaiani, Lorenzo, Colomba, Luca, Attanasio, Giuseppe, Pastor, Eliana, Cagliero, Luca, Baralis, Elena
Recent large-scale Spoken Language Understanding datasets focus predominantly on English and do not account for language-specific phenomena such as particular phonemes or words in different lects. We introduce ITALIC, the first large-scale speech dat
Externí odkaz:
http://arxiv.org/abs/2306.08502
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
Akademický článek
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Autor:
La Quatra, Moreno, Cagliero, Luca
Publikováno v:
In Knowledge-Based Systems 27 September 2022 252