Giampiero Salvi — accepted AI-conference papers

2024

Collecting Linguistic Resources for Assessing Children’s Pronunciation of Nordic Languages

Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo +5

COLING 2024main

This paper reports on the experience collecting a number of corpora of Nordic languages spoken by children. The aim of the data collection is providing annotated data to develop and evaluate computer assisted pronunciation assessment systems both for non-native children learning a Nordic language (L…

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2023

Using Modified Adult Speech as Data Augmentation for Child Speech Recognition

Zijian Fan, Xinwei Cao, Giampiero Salvi, Torbjørn Svendsen

ICASSP 2023accepted

Data augmentation is a technique which enhances the size and quality of training data such that deep learning or machine learning models can achieve better performance. This paper proposes a novel way of applying data augmentation for child speech recognition in the low data resource scenario. Data…

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2021

STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System Security

Mohammad Adiban, Arash Safari, Giampiero Salvi

ICASSP 2021accepted

Smart grid systems (SGSs), and in particular power systems, play a vital role in today’s urban life. The security of these grids is now threatened by adversaries that use false data injection (FDI) to produce a breach of availability, integrity, or confidential principles of the system. We propose a…

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