https://github.com/cscpadova/soundrise-prj
Soundrise project archive
Science Score: 23.0%
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Low similarity (10.0%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Soundrise project archive
Basic Info
- Host: GitHub
- Owner: CSCPadova
- License: gpl-3.0
- Default Branch: main
- Size: 13.8 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed over 1 year ago
https://github.com/CSCPadova/soundrise-prj/blob/main/
# 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 users 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 Rod_ (supervisor); _Federico Avanzini_ (supervisor); _Sergio Canazza_ (superivsor); _Serena Zanolla_ (supervisor); _Raul Masu_ (supervisor) **Date Created** 2012 **Last Update** 2024## Technical Notes ### How soundrise works **Flowchart - Audio feature extraction to graphical feedback** The application captures audio features from your voice using the devices microphone and utilizes them to generate graphical feedback.
The audio features of your voice are mapped to the movement of a sun on the screen.
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
## Video Demostration [link to the video](archive/video/2023-soundrise2.0-demo.mp4) ## 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](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](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 disabilit uditive__| | --- | --- | | author | __Gabriele Turetta__ | | date | 2023 | | type | __thesis__ | | link | [https://hdl.handle.net/20.500.12608/44069](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 disabilit uditive__ | | --- | --- | | author | __Riccardo Fila__ | | date | 2023 | | type | __thesis__ | | link | [https://hdl.handle.net/20.500.12608/53325](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](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](https://zenodo.org/records/13904858)| | bibtex | |## About repositoryThis 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](https://www.frontiersin.org/articles/10.3389/frsip.2023.1183294/full))
Owner
- Name: Centro di Sonologia Computazionale (CSC) - University of Padova
- Login: CSCPadova
- Kind: organization
- Repositories: 1
- Profile: https://github.com/CSCPadova
The CSC is a research group of the Department of Information Engineering of the University of Padova.
GitHub Events
Total
- Push event: 10
Last Year
- Push event: 10
## Technical Notes
### How soundrise works
**Flowchart - Audio feature extraction to graphical feedback**
The application captures audio features from your voice using the devices microphone and utilizes them to generate graphical feedback.
The audio features of your voice are mapped to the movement of a sun on the screen.
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
## Video Demostration
[link to the video](archive/video/2023-soundrise2.0-demo.mp4)
## Bibliography