Leonardo Pepino — accepted AI-conference papers

2022

Study of Positional Encoding Approaches for Audio Spectrogram Transformers

Leonardo Pepino, Pablo Riera, Luciana Ferrer

ICASSP 2022accepted

Transformers have revolutionized the world of deep learning, specially in the field of natural language processing. Recently, the Audio Spectrogram Transformer (AST) was proposed for audio classification, leading to state of the art results in several datasets. However, in order for ASTs to outperfo…

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2020

Fusion Approaches for Emotion Recognition from Speech Using Acoustic and Text-Based Features

Leonardo Pepino, Pablo Riera, Luciana Ferrer, Agustín Gravano

ICASSP 2020accepted

In this paper, we study different approaches for classifying emotions from speech using acoustic and text-based features. We propose to obtain contextualized word embeddings with BERT to represent the information contained in speech transcriptions and show that this results in better performance tha…

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