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Bruno M. Fazenda

2 accepted papers

2019

Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience

ICASSP 2019accepted

Acoustic Event Detection (AED) is an important task of machine listening which, in recent years, has been addressed using common machine learning methods like Non-negative Matrix Factorization (NMF) or deep learning. However, most of these approaches do not take into consideration the way that human…

Cited by 0SourceScholar
2019

Background Adaptation for Improved Listening Experience in Broadcasting

ICASSP 2019accepted

The intelligibility of speech in noise can be improved by modifying the speech. But with object-based audio, there is the possibility of altering the background sound while leaving the speech unaltered. This may prove a less intrusive approach, affording good speech intelligibility without overly co…

Cited by 0SourceScholar