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20192024
most citedCompact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms

58 citations · 60 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.AS20222 cited

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…

eess.AS2021

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…

eess.AS202058 cited

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…

eess.AS2019

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…

eess.AS2019

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…