176 citations · 178 across the 4 of their papers we have counts for
5 papers · 1 filter
Conversational Speech Separation: an Evaluation Study for Streaming Applications
Giovanni Morrone, Samuele Cornell, Enrico Zovato +2
Continuous speech separation (CSS) is a recently proposed framework which aims at separating each speaker from an input mixture signal in a streaming fashion. Hereafter we perform…
Deep Optimization of Parametric IIR Filters for Audio Equalization
Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini +2
This paper describes a novel Deep Learning method for the design of IIR parametric filters for automatic audio equalization. A simple and effective neural architecture, named BiasN…
Learning to Rank Microphones for Distant Speech Recognition
Samuele Cornell, Alessio Brutti, Marco Matassoni +1
Fully exploiting ad-hoc microphone networks for distant speech recognition is still an open issue. Empirical evidence shows that being able to select the best microphone leads to s…
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…
Polyphonic Sound Event Detection by using Capsule Neural Networks
Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi +1
Artificial sound event detection (SED) has the aim to mimic the human ability to perceive and understand what is happening in the surroundings. Nowadays, Deep Learning offers valua…