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Ana Elisa Méndez Méndez

2 accepted papers

2020

Multi-Label Sound Event Retrieval Using A Deep Learning-Based Siamese Structure With A Pairwise Presence Matrix

ICASSP 2020accepted

Realistic recordings of soundscapes often have multiple sound events co-occurring, such as car horns, engine and human voices. Sound event retrieval is a type of contentbased search aiming at finding audio samples, similar to an audio query based on their acoustic or semantic content. State of the a…

Cited by 0SourceScholar
2019

Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data

ICASSP 2019accepted

There are many sound classification problems that have target classes which are rare or unique to the context of the problem. For these problems, existing data sets are not sufficient and we must create new problem-specific datasets to train classification models. However, annotating a new dataset f…

Cited by 0SourceScholar