Giampiero Salvi

About Giampiero Salvi

Giampiero Salvi, With an exceptional h-index of 19 and a recent h-index of 13 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Artificial Intelligence, Machine Learning, Cognitive Systems, Speech.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit

Improving generalization of Norwegian ASR with limited linguistic resources

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children

A character-based analysis of impacts of dialects on end-to-end Norwegian ASR

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction

Perceptual and Task-Oriented Assessment of a Semantic Metric for ASR Evaluation

A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity

An Analysis of Goodness of Pronunciation for Child Speech

Giampiero Salvi Information

University

Position

Professor of Machine Learning

Citations(all)

1194

Citations(since 2020)

447

Cited By

917

hIndex(all)

19

hIndex(since 2020)

13

i10Index(all)

36

i10Index(since 2020)

16

Email

University Profile Page

Norges teknisk-naturvitenskaplige universitet

Google Scholar

View Google Scholar Profile

Giampiero Salvi Skills & Research Interests

Artificial Intelligence

Machine Learning

Cognitive Systems

Speech

Top articles of Giampiero Salvi

Title

Journal

Author(s)

Publication Date

Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit

BMC Medical Research Methodology

Eline Stenwig

Giampiero Salvi

Pierluigi Salvo Rossi

Nils Kristian Skjærvold

2023/4/24

Improving generalization of Norwegian ASR with limited linguistic resources

Per Erik Solberg

Pablo Ortiz

Phoebe Parsons

Torbjørn Svendsen

Giampiero Salvi

2023/3/20

Developing an AI-Assisted Low-Resource Spoken Language Learning App for Children

IEEE Access

Yaroslav Getman

Nhan Phan

Ragheb Al-Ghezi

Ekaterina Voskoboinik

Mittul Singh

...

2023/8/10

A character-based analysis of impacts of dialects on end-to-end Norwegian ASR

Phoebe Parsons

Knut Kvale

Torbjørn Svendsen

Giampiero Salvi

2023/3/20

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction

arXiv preprint arXiv:2307.06701

Mohammad Adiban

Kalin Stefanov

Sabato Marco Siniscalchi

Giampiero Salvi

2023/7/13

Perceptual and Task-Oriented Assessment of a Semantic Metric for ASR Evaluation

Janine Lizbeth Cabrera Rugayan

Torbjørn Karl Svendsen

Giampiero Salvi

2023

A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity

Neurocomputing

Mohammad Adiban

Sabato Marco Siniscalchi

Giampiero Salvi

2023/6/7

An Analysis of Goodness of Pronunciation for Child Speech

Xinwei Cao

Zijian Fan

Torbjørn Svendsen

Giampiero Salvi

2023

Using Modified Adult Speech as Data Augmentation for Child Speech Recognition

Zijian Fan

Xinwei Cao

Giampiero Salvi

Torbjørn Svendsen

2023/6/4

Naaqa: A neural architecture for acoustic question answering

IEEE transactions on Pattern Analysis and Machine Intelligence

Jérôme Abdelnour

Jean Rouat

Giampiero Salvi

2022/10

Comparative analysis of explainable machine learning prediction models for hospital mortality

BMC Medical Research Methodology

Eline Stenwig

Giampiero Salvi

Pierluigi Salvo Rossi

Nils Kristian Skjærvold

2022/2/27

Wav2vec2-based speech rating system for children with speech sound disorder

Yaroslav Getman

Ragheb Al-Ghezi

Ekaterina Voskoboinik

Tamás Grósz

Mikko Kurimo

...

2022

Semantically meaningful metrics for Norwegian ASR systems

Janine Rugayan

Torbjørn Svendsen

Giampiero Salvi

2022

Hierarchical residual learning based vector quantized variational autoencorder for image reconstruction and generation

Mohammad Adiban

Kalin Stefanov

Sabato M Siniscalchi

Giampiero Salvi

2022

Bayesian deep learning for vibration-based bridge damage detection

Structural health monitoring based on data science techniques

Davíð Steinar Ásgrímsson

Ignacio González

Giampiero Salvi

Raid Karoumi

2022

Acoustic-to-articulatory mapping with joint optimization of deep speech enhancement and articulatory inversion models

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Abdolreza Sabzi Shahrebabaki

Giampiero Salvi

Torbjørn Svendsen

Sabato Marco Siniscalchi

2021/12/7

STEP-GAN: A one-class anomaly detection model with applications to power system security

Mohammad Adiban

Arash Safari

Giampiero Salvi

2021/6/6

A DNN based speech enhancement approach to noise robust acoustic-to-articulatory inversion

Abdolreza Sabzi Shahrebabaki

Sabato Marco Siniscalchi

Giampiero Salvi

2021/5/22

Spatial bias in vision-based voice activity detection

Kalin Stefanov

Mohammad Adiban

Giampiero Salvi

2021/1/10

Sequence-to-sequence articulatory inversion through time convolution of sub-band frequency signals

database

Abdolreza Sabzi Shahrebabaki

Sabato Marco Siniscalchi

Giampiero Salvi

Torbjørn Svendsen

2020

See List of Professors in Giampiero Salvi University(Norges teknisk-naturvitenskaplige universitet)

Co-Authors

H-index: 41
Hedvig Kjellström (Sidenbladh)

Hedvig Kjellström (Sidenbladh)

Kungliga Tekniska högskolan

H-index: 33
sabato marco siniscalchi

sabato marco siniscalchi

Università degli Studi di Enna Kore

H-index: 33
joakim gustafson

joakim gustafson

Kungliga Tekniska högskolan

H-index: 29
Olov Engwall

Olov Engwall

Kungliga Tekniska högskolan

H-index: 23
Alessio Carullo

Alessio Carullo

Politecnico di Torino

H-index: 22
Karl Pauwels

Karl Pauwels

Kungliga Tekniska högskolan

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