Marco Marini

Orcid: 0000-0001-6197-1642

According to our database1, Marco Marini authored at least 11 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A Clinical Tool for Prognosis and Speech Rehabilitation in Dysarthric Patients: The DESIRE Project.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021
Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria.
Sensors, 2021

An Easily Integrable Industrial System for Gamma Spectroscopic Analysis and Traceability of Stones and Building Materials.
Sensors, 2021

Music and Time Perception in Audiovisuals: Arousing Soundtracks Lead to Time Overestimation No Matter Their Emotional Valence.
Multimodal Technol. Interact., 2021

Machine learning assistive application for users with speech disorders.
Appl. Soft Comput., 2021

IDEA: An Italian Dysarthric Speech Database.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

FPGA Implementation of a Configurable Vocal Feature Extraction Embedded System for Dysarthric Speech Recognition.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

2020
A Cloud-Oriented Measurement System for Radiological Investigation and Traceability of Stones.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

Enabling Smart Home Voice Control for Italian People with Dysarthria: Preliminary Analysis of Frame Rate Effect on Speech Recognition.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2020

2018
Towards a Deep Learning Based ASR System for Users with Dysarthria.
Proceedings of the Computers Helping People with Special Needs, 2018

2015
Reconciliation of systems of time series according to a growth rates preservation principle.
Stat. Methods Appl., 2015


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