activity
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 2022Show all

5 papers · 1 filter

eess.AS2022★ 1 cited

An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding

Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti

Continual learning refers to a dynamical framework in which a model receives a stream of non-stationary data over time and must adapt to new data while preserving previously acquir…

eess.AS2022★ 22 cited

Low-complexity acoustic scene classification in DCASE 2022 Challenge

Irene Martín-Morató, Francesco Paissan, Alberto Ancilotto +5

This paper presents an analysis of the Low-Complexity Acoustic Scene Classification task in DCASE 2022 Challenge. The task was a continuation from the previous years, but the low-c…

eess.AS2022★ 2 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.AS2022★ 1 cited

Low-Latency Speech Separation Guided Diarization for Telephone Conversations

Giovanni Morrone, Samuele Cornell, Desh Raj +4

In this paper, we carry out an analysis on the use of speech separation guided diarization (SSGD) in telephone conversations. SSGD performs diarization by separating the speakers s…

cs.LG2022

Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?

Vandana Rajan, Alessio Brutti, Andrea Cavallaro

Humans express their emotions via facial expressions, voice intonation and word choices. To infer the nature of the underlying emotion, recognition models may use a single modality…