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Giulio Cengarle

7 papers hereh-index 6123 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SD4
  • eess.AS3

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedMono-to-stereo through parametric stereo generation

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2026

Spot, Separate, and Enhance: Fully Generative Approach for Audio Mixing

Ilpo Viertola, Giulio Cengarle, Gouthaman KV +2

We introduce Spot, Separate, and Enhance (SSE), the first multimodal, user-guided generative model for audio remixing and enhancement. SSE enhances video content by rebalancing the…

cs.SD2023★ 2 cited

Mono-to-stereo through parametric stereo generation

Joan Serrà, Davide Scaini, Santiago Pascual +4

Generating a stereophonic presentation from a monophonic audio signal is a challenging open task, especially if the goal is to obtain a realistic spatial imaging with a specific pa…

cs.SD2021★ 1 cited

Upsampling layers for music source separation

Jordi Pons, Joan Serrà, Santiago Pascual +3

Upsampling artifacts are caused by problematic upsampling layers and due to spectral replicas that emerge while upsampling. Also, depending on the used upsampling layer, such artif…

cs.SD2020

Upsampling artifacts in neural audio synthesis

Jordi Pons, Santiago Pascual, Giulio Cengarle +1

A number of recent advances in neural audio synthesis rely on upsampling layers, which can introduce undesired artifacts. In computer vision, upsampling artifacts have been studied…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.