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20192026
most citedCompact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms

58 citations · 94 across the 38 of their papers we have counts for

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Showing 2019 · eess.ASShow all

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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…