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Soundrise

Description: SoundRise 2.0 is an application developed in React JS with the aid of Web Audio API, designed to help people with communication difficulties, especially children. The application provides an intuitive interface that allows the user to practise speech therapy voice exercises independently. The interface consists of a sun that symbolises the user’s voice and is animated according to the tonal and timbral characteristics of the voice itself: it analyses these vocal characteristics and displays a correspondent visual feedback in real time.

This application is the result of years of study and research by the CSC (Centro di Sonologia Computazionale). For years, the CSC has aimed to promote learning activities that encourage children, by considering physical actions as an integral part of cognition, through the use of technological enhancement.
During these years, a number of prototypes have been developed and then shelved. The last update of Soundrise aims to develop an application maintainable over time, undertaking a reactivation process previously designed at CSC for the preservation and reactivation of artefacts.

Website https://soundrise-82999.web.app/

Authors: Giada Zuccolo (developer); Riccardo Fila (developer); Stefano Giusto (developer); Marco Randon (developer); Gabriele Turetta (developer); Alessandro Fiordelmondo (supervisor, repository); Antonio Rodà (supervisor); Federico Avanzini (supervisor); Sergio Canazza (superivsor); Serena Zanolla (supervisor); Raul Masu (supervisor)

Date Created 2012
Last Update 2024

SOUNDRISE 2.0

Technical Notes

How soundrise works

Flowchart - Audio feature extraction to graphical feedback The application captures audio features from your voice using the device’s microphone and utilizes them to generate graphical feedback.

Audio feature extraction to graphical feedback

The audio features of your voice are mapped to the movement of a sun on the screen.

Mapping - Audio feature extraction to graphical feedback

With the timber we consider only the five italian vowels

link vowels-colors
[a] ⇒ rosso;
[O] ⇒ arancione;
[E] ⇒ verde;
[i] ⇒ blu;
[u] ⇒ grigio

The vowels are extracted through an algorithm of Linear Predictive Coding (LPC) using defined vowel formants

Vowel format

Video Demostration

link to the video

Bibliography

title SoundRise: studio e progettazione di un'applicazione multimodale interattiva per la didattica basata sull'analisi di feature vocali
author Stefano Giusto
date 2012-07-17
type thesis
link https://hdl.handle.net/20.500.12608/15800
bibtex @article{giusto2012soundrise,title={SoundRise: studio e progettazione di un'applicazione multimodale interattiva per la didattica basata sull'analisi di feature vocali},author={Giusto, Stefano},year={2012}}

title SoundRise: sviluppo e validazione di un'applicazione multimodale interattiva per la didattica basata sull'analisi di feature vocali
author Marco Randon
date 2012-07-17
type thesis
link https://hdl.handle.net/20.500.12608/15833
bibtex @article{randon2012soundrise,title={SoundRise: sviluppo e validazione di un'applicazione multimodale interattiva per la didattica basata sull'analisi di feature vocali},author={Randon, Marco},year={2012}}

title Soundrise 2.0: Sviluppo di un'interfaccia grafica interattiva in Three.js per supportare persone con disabilità uditive
author Gabriele Turetta
date 2023
type thesis
link https://hdl.handle.net/20.500.12608/44069
bibtex @article{turettasoundrise,title={Soundrise 2.0: Sviluppo di un'interfaccia grafica interattiva in Three. js per supportare persone con disabilit{`a} uditive},author={TURETTA, GABRIELE}}

title Soundrise 2.0: Sviluppo di un modello di riconoscimento timbrico per un sistema di assistenza web dedicato a persone con disabilità uditive
author Riccardo Fila
date 2023
type thesis
link https://hdl.handle.net/20.500.12608/53325
bibtex @article{filasoundrise,title={SOUNDRISE 2.0: Sviluppo di un modello di riconoscimento timbrico per un sistema di assistenza web dedicato a persone con disabilit{`a} uditive},author={FILA, RICCARDO}}

title A New Sunrise for Speech Therapy: Development of SoundRise 2.0 Application
author Giada Zuccolo
date 2023
type thesis
link https://hdl.handle.net/20.500.12608/60413
bibtex

title Longevity in NIME research: a case study using time-based media art preservation models
author Alessandro Fiordelmondo, Giada Zuccolo, Sergio Canazza, and Raul Masu
date 2024
type conference paper
link https://zenodo.org/records/13904858
bibtex

About repository

This repository serves as a tool for preserving the application and research project.
The repository follows the guideline of the Multilevel Dynamic Preservation (MDP) model (https://www.frontiersin.org/articles/10.3389/frsip.2023.1183294/full)

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