News
21 February 2014
ARTTS project, Final Meeting on February 22nd 2014
Room I-105, Faculdade de Engenharia da Universidade do Porto, Portugal
The meeting involves essentially a set of presentations and demos illustrating some of the results of the project. The program of the final meeting includes:
- 9h30 - Aníbal Ferreira, Opening and overview of the project, activities and results
- 10h00 - Susana Freitas, "Voice-PE a tool for the training in audio - perceptual evaluation"
- 10h20 - Ricardo Sousa, "VoiceStudio a tool for the acoustic evaluation of the voice"
- 10h40 - Inês Moura, "Research results on singing voice perturbations"
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- 11h00 - Coffee break
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- 11h30 - Ricardo Sousa, "SingingStudio a tool for the analysis of the singing voice"
- 11h50 - Joana Martinez, "Research results on spoken voice perturbations"
- 12h10 - Sérgio Lopes, "SingingStudio and MasterPitch- software applications for iOS platforms"
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- 12h45 - Lunch (reserved)
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- 14h00 - Mário Alves, "SingingBattle, an interactive software application for the EducationalService at Casa da Música"
- 14h30 - The Singing Voice, LIVE! Rui Taveira -introduction | Marta Martins (Soprano) | Luis Neiva (Bass) | Angel Casado -piano
- 15h00 - Closing session: -concluding notes by Aníbal Ferreira and Sten Ternström (Prof. at KTH, Sweden, via videoconferencing) | -enquiry on possible new research avenues, challenges and projects | - Farewell.
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08 October 2012
Business & Innovation Network @ PORTO 2012
The Faculty of Engineering of University of Porto (FEUP) is organising the 3rd international BIN@TM event that will be held at FEUP Campus, located in the World Heritage City of Porto - Portugal, on October 24th, 25th and 26th 2012.
Technologies Showroom: October 25, Venue: UPTEC | Innovation Centre, 14h00 - 18h30 | Technologies Demonstration
The delagates will have the opportunity to present and/or just visit a wide group of technology showcases and some technology demonstration / simulation.
BIN@PORTO
Porto - Portugal, on October 24th, 25th and 26th 2012.
The BIN@ is an informal international network of academic and industry partners engaged and supporting the creation of a sustainable forum for sharing good practice and opportunities in Innovation. Our goal is to develop a sustainable international network of partners from across industry, academia, investment, incubation, business development and economic development agencies to support the sharing of good practice and knowledge and to promote open innovation. We intend to help connect partners from across disciplines and industrial sectors to create opportunities for collaboration and cooperation, and hopefully support partnerships that can deliver value and impact.
ARTTS - Assistive Real-Time Technologies in Singing | ARTTS aims at providing singing students, teachers and professionals with solutions helping them to optimize singing learning and training in a visual, objective and intuitive way, and to perform safely. Two interactive software platforms (SingingStudio and SingingBattle) will be demonstrated featuring innovative functionalities, namely real-time visual feedback of relevant quality parameters of the singing voice, visually-oriented formal and entertaining singing exercises, and automatic singing to music score transcription. ARTTS is about seeing, understanding and mastering your voice!
16 Desember 2011
Conference
International Conference onComputational Processing of Portuguese Language.
17th April 2012
Tutorial by Aníbal Ferraira on "Analysis and visual feedback of the singing voice: is what you sing, what you get?"
For more information, please follow this link:
Propor 2012
A voice signal is multidimensional in the sense that it conveys information concerning not only the linguistic contents of the voice message, but also other layers of information, namely the accent and speaking style, the identity of the speaker and its mood. The importance of these stylistic layers is dominant in the case of the singing voice since they determine melody, expressivity, and emotion. The visual feedback of objective features extracted from the singing voice and denoting relevant musical characteristics is very beneficial in both singing teaching and learning. In this talk/tutorial, the challenges involved in feature extraction from the singing voice and due mainly to the typical high F0, will be addressed. An emphasis will be placed on melody and vibrato extraction and parameterization, as well as on formant estimation where the Sinusoids+Noise signal decomposition proves to be useful. Illustrative examples will be presented and future developments will be discussed in order to reduce the gap between machine listening and human listening in the case of the singing voice.
