58 citations · 58 across the 4 of their papers we have counts for
4 papers
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
Gianmarco Cerutti, Rahul Prasad, Alessio Brutti +1
Outdoor acoustic events detection is an exciting research field but challenged by the need for complex algorithms and deep learning techniques, typically requiring many computation…
Supervised online diarization with sample mean loss for multi-domain data
Enrico Fini, Alessio Brutti
Recently, a fully supervised speaker diarization approach was proposed (UIS-RNN) which models speakers using multiple instances of a parameter-sharing recurrent neural network. In…
The Speed Submission to DIHARD II: Contributions & Lessons Learned
Md Sahidullah, Jose Patino, Samuele Cornell +11
This paper describes the speaker diarization systems developed for the Second DIHARD Speech Diarization Challenge (DIHARD II) by the Speed team. Besides describing the system, whic…
LOCATA challenge: speaker localization with a planar array
Xinyuan Qian, Andrea Cavallaro, Alessio Brutti +1
This document describes our submission to the 2018 LOCalization And TrAcking (LOCATA) challenge (Tasks 1, 3, 5). We estimate the 3D position of a speaker using the Global Coherence…