Sound Based Networks (SSN)

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Type: 
Master, Doctorate and Post-Doctorate
Main researcher: 
João Miguel Cordeiro – 100% (doctoral candidate)
Team elements (%affectation): 
Advisor: Prof. Álvaro Barbosa – 10%, Co-advisor: Prof. Luís Gustavo Martins – 5%
Abstract: 

SSN is a multidisciplinary investigation project focusing on the area of Sound and Music Computing aiming to gauge the importance of sound in establishing social networks. It is being carried out within the doctoral project of João Miguel Cordeiro.

Objectives: 

Sound plays a fundamental role in the way individuals interact between themselves and with the environment. However, that interaction is not always totally conscious and tends to focus on communication through more or less well-defined codes such as oral verbal language, music or alarms. The SSN project considers sound in the perspective of Soundscapes – a term coined by Murray Schafer and used to describe the interpretation human beings make of the environmental sound of a determined space/time.
The objective of the investigation is to understand the importance sound plays in people’s daily life and to explore the pertinence of its use in the context of the social media networks. To attain that objective, and based on the presupposition that the soundscape carries with it relevant information about the living context of each individual, we have created a mobile application for social media as a methodological tool to collect data and gauge the hypothesis raised.

Activities: 

2009/2 – Start of the project (define the problem, review literature)

2009/7 – Participation in the Summer School in Sound and Music Computing & SID Training School on Interactions with Environmental Sounds, Casa da Música, Porto. 

2009/10 – Participation in the interface workshop Design for Mobile Devices, Festival Future Places - FBAUP, Porto. Conceptualisation of the project/proof of concept Hurly-Burly

2010/3 – Participation in the programming course for iPhone, Associação CADA, Lisbon.

2010/6 – Publication of a scientific article in the 16th International Conference on Auditory Display, Washington - “HURLY-BURLY: AN EXPERIMENTAL FRAMEWORK FOR SOUND BASED SOCIAL NETWORKING.”

2010/10 – Presentation of the investigation project at the 1st Seminar of the Doctorate in Science and Technology of the Arts, Specialisation in Music Computing. Escola das Artes - Universidade Católica Portuguesa, Porto.

2011/2 – Training period at CCRMA, Stanford University, California. Developing the first audio classification model on a mobile device.
2011/12 – Publishing a scientific article and a demo at the 4th Conference into the Art and Science of Videogames, University of Porto. “Murky Shooting: Em busca da primazia sonora nos videojogos.”

2012/9 ~2012/11 – Training period at C4DM, Queen Mary University, London.

2012/9 – 2013/9 – Writing the thesis 

2014/2 – Defending the thesis

 

State: 
Ongoing
Research group: 
Visual and Interactive Art
Summary: 

SSN is a multidisciplinary investigation project focusing on the area of Sound and Music Computing aiming to gauge the importance of sound in establishing social networks.
02/2009 to 02/2014