
Use the new 2-track recorder to sing over backing tracks, or expand the studio section (available via in-app purchase) to record whole songs. With VocaLive you can process your voice, sing along to any song in your iTunes Music library - its Voice Cancel feature lets you remove existing vocals - and warm up with helpful vocal warm-up tools. Together these effects provide unparalleled creative processing power.
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VocaLive for iPhone includes 12 vocal effects: Pitch Fix (for tuning or stylized FX), Choir, Morph, Reverb, De-Esser, Delay, Parametric EQ, Compressor, Chorus, Phazer and Envelope Filter plus a vocal Double effect available via registration. A collection of 55 presets is included to get you up and running immediately. The effects can be combined into a chain of 4 processors and saved as presets.

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D.VocaLive provides singers and vocalists with a suite of 12 real-time professional vocal effects, along with a range of tools to help you practice, sing and record. Unai San Andres Sans (JEMA ENERGY SA) Secretaría: Dr. Irma Villar Iturbe (IKERLAN) Vocalía: Dr. D Francisco Blázquez García (Universidad Politécnica de Madrid) Vocalía: Dra. Ricardo Bosch Tous (Universidad Politécnica de Catalunya) Vocalía: Dr.
PROGRAMA DE DOCTORADO EN INGENIERÍA MECÁNICA Y ENERGÍA ELÉCTRICA Goi Eskola PoliteknikoaĪ Knowledge-Based Engineering System Framework for the Development of Electric MachinesĪccionamientos aplicados a la tracción y a la generación de energía eléctrica To substantiate the process a KBE system is created that supports the development of electric motors for the elevator system industry. From which a guideline is provided following a sequential process in order to achieve a viable KBE system. The KBE system framework herein presented is formalized through the experience and analysis of the development and implementation of the KBE applications. The author of this work has opted to develop KBE applications following the minimum viable product principle. This architecture provides capability to manage and automate tasks in the development process of electric machines. This thesis describes this model and the integration of KBE applications with current industrial technologies such as Model-Based Systems Engineering (MBSE), Product Lifecycle Management (PLM), multiphysics and analytical design tools. The framework is encapsulated in the so-called KBV2-model comprising the standardized macro-level framework for electrical machine and the knowledge base generation process.

To support the aforementioned issue, a knowledge-based engineering (KBE) system framework for the development of electric machines is devised. In addition, find ways to retain know-how that is typically kept within each designer either to retrieve it or transfer it to new designers. Furthermore, simplify their development process as well as to reduce computational time to achieve a feasible design in shorter periods. Therefore, it is mandatory small-medium companies adopt new technologies offering customized products fulfilling the customers’ requirements according to their investment capacity. These applications encounter the need for tailor-made motors that must meet demanding requirements.
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The demand for electric motors have increased in the last decade especially due to applications that try to make a full transition from fuel to electricity. The new concept industry 4.0 is a great opportunity to improve the competitiveness in a global market for small-medium size electric machinery companies.
