activity
20182023
most citedReal-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

176 citations · 271 across the 15 of their papers we have counts for

collaborators

17 papers

eess.AS2023★ 2 cited

One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition

Samuele Cornell, Jee-weon Jung, Shinji Watanabe +1

This paper presents a novel framework for joint speaker diarization (SD) and automatic speech recognition (ASR), named SLIDAR (sliding-window diarization-augmented recognition). SL…

eess.AS2023

An enhanced system for the detection and active cancellation of snoring signals

Valeria Bruschi, Michela Cantarini, Luca Serafini +3

Snoring is a common disorder that affects people's social and marital lives. The annoyance caused by snoring can be partially solved with active noise control systems. In this cont…

eess.AS2023

A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment

Carlo Aironi, Samuele Cornell, Luca Serafini +1

Packet loss is a major cause of voice quality degradation in VoIP transmissions with serious impact on intelligibility and user experience. This paper describes a system based on a…

eess.AS2023★ 9 cited

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

Samuele Cornell, Matthew Wiesner, Shinji Watanabe +8

The CHiME challenges have played a significant role in the development and evaluation of robust automatic speech recognition (ASR) systems. We introduce the CHiME-7 distant ASR (DA…

eess.AS2023

An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings

Luca Serafini, Samuele Cornell, Giovanni Morrone +3

We performed an experimental review of current diarization systems for the conversational telephone speech (CTS) domain. In detail, we considered a total of eight different algorit…

eess.AS2023★ 5 cited

End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations

Giovanni Morrone, Samuele Cornell, Luca Serafini +3

Recent works show that speech separation guided diarization (SSGD) is an increasingly promising direction, mainly thanks to the recent progress in speech separation. It performs di…