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Diego Di Carlo

5 accepted papers

2026

SIRUP: A DIFFUSION-BASED VIRTUAL UPMIXER OF STEERING VECTORS FOR HIGHLY-DIRECTIVE SPATIALIZATION WITH FIRST-ORDER AMBISONICS

ICASSP 2026poster

This paper presents virtual upmixing of steering vectors captured by a fewer-channel spherical microphone array. This challenge has conventionally been addressed by recovering the directions and signals of sound sources from first-order ambisonics (FOA) data, and then rendering the higher-order ambi…

Cited by 0SourcePDFScholar
2020

Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval

ICASSP 2020accepted

Acoustic echoes retrieval is a research topic that is gaining importance in many speech and audio signal processing applications such as speech enhancement, source separation, dereverberation and room geometry estimation. This work proposes a novel approach to blindly retrieve the off-grid timing of…

Cited by 0SourceScholar
2019

Mirage: 2D Source Localization Using Microphone Pair Augmentation with Echoes

ICASSP 2019accepted

It is commonly observed that acoustic echoes hurt per mance of sound source localization (SSL) methods. We troduce the concept of microphone array augmentation echoes (MIRAGE) and show how estimation of early-e characteristics can in fact benefit SSL. We propose a learn based scheme for echo estimat…

Cited by 0SourceScholar
2018

Separake: Source Separation with a Little Help from Echoes

ICASSP 2018accepted

It is commonly believed that multipath hurts various audio processing algorithms. At odds with this belief, we show that multipath in fact helps sound source separation, even with very simple propagation models. Unlike most existing methods, we neither ignore the room impulse responses, nor we attem…

Cited by 0SourceScholar