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pro vyhledávání: '"Montresor A"'
Many real-world complex systems are characterized by non-pairwise -- higher-order -- interactions among system's units, and can be effectively modeled as hypergraphs. Directed hypergraphs distinguish between source and target sets within each hypered
Externí odkaz:
http://arxiv.org/abs/2410.16258
Speaker Diarization (SD) aims at grouping speech segments that belong to the same speaker. This task is required in many speech-processing applications, such as rich meeting transcription. In this context, distant microphone arrays usually capture th
Externí odkaz:
http://arxiv.org/abs/2406.03251
We present an interactive Web platform that, given a directed graph, allows identifying the most relevant nodes related to a given query node. Besides well-established algorithms such as PageRank and Personalized PageRank, the demo includes Cyclerank
Externí odkaz:
http://arxiv.org/abs/2405.02261
Publikováno v:
Appl Netw Sci 9, 55 (2024)
A wide variety of complex systems are characterized by interactions of different types involving varying numbers of units. Multiplex hypergraphs serve as a tool to describe such structures, capturing distinct types of higher-order interactions among
Externí odkaz:
http://arxiv.org/abs/2402.16782
Voice Activity Detection (VAD) and Overlapped Speech Detection (OSD) are key pre-processing tasks for speaker diarization. In the meeting context, it is often easier to capture speech with a distant device. This consideration however leads to severe
Externí odkaz:
http://arxiv.org/abs/2402.08312
Autor:
Lebourdais, Martin, Mariotte, Théo, Tahon, Marie, Larcher, Anthony, Laurent, Antoine, Montresor, Silvio, Meignier, Sylvain, Thomas, Jean-Hugh
Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on the robustness of these sub-tasks. Recent studies have shown VAD and O
Externí odkaz:
http://arxiv.org/abs/2307.13012
Speaker diarization is the task of answering Who spoke and when? in an audio stream. Pipeline systems rely on speech segmentation to extract speakers' segments and achieve robust speaker diarization. This paper proposes a common framework to solve th
Externí odkaz:
http://arxiv.org/abs/2306.04268
Autor:
Lotito, Quintino Francesco, Contisciani, Martina, De Bacco, Caterina, Di Gaetano, Leonardo, Gallo, Luca, Montresor, Alberto, Musciotto, Federico, Ruggeri, Nicolò, Battiston, Federico
Publikováno v:
Journal of Complex Networks, Volume 11, Issue 3, June 2023
From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where hyperedges encode interactions among an arbitrary number of units. He
Externí odkaz:
http://arxiv.org/abs/2303.15356
Publikováno v:
Journal of Complex Networks, Volume 12, Issue 2, April 2024, cnae013
Many networks can be characterised by the presence of communities, which are groups of units that are closely linked. Identifying these communities can be crucial for understanding the system's overall function. Recently, hypergraphs have emerged as
Externí odkaz:
http://arxiv.org/abs/2303.01385