In this paper we describe a method that uses text-to-speech (TTS) synthesis models to improve the quality of keyword spotting models and to reduce the time and money required to train them. Improving Keyword Spotting with Synthetic Speech Paper about a novel approach for image segmentation combining Neural ODEs and the Level Set method.Paper about text-to-spectrogram model with more realism and expressivity than current SOTA.Paper about improving keyword spotting with synthetic speech.Segments and scores that describe novelty seeking behavior in listeners.īefore coming to Berkeley, I completed a master's in Computer Music from HMDK Stuttgart in Germany and a bachelor's in Orchestral Conducting from UFRJ in Brazil. Scientist Intern at Pandora in Oakland, where I investigated Worked on audio classification using Deep Learning. At UC Berkeley, I was part of the TerraSwarm ResearchĬenter, where I worked on problems related to adversarialĪttacks and verified artificial intelligence.ĭuring Fall 2016 I was a Research Intern at Gracenote in Emeryville, where I Edmund Campion and my researchįocused on machine listening and improvisation. Machine perception and machine improvisation.Īdvised mainly by Prof. I am passionate about generative modeling, 3, 2020.I'm a polymath senior research scientist at NVIDIAįocusing on audio and computer vision applications. “Engenharia, Empresa Júnior e Educação Empreendedora: estudo de caso de projetos sociais que impactaram além das universidades” Brazilian Applied Science Review. “Quantum Fields: The Real Building Blocks of the Universe”. Cambridge: Harvard University Press, 1983. “Foundations of Economic Analysis: Enlarged Edition”. “Quantum Computation and Quantum Information: 10th Anniversary Edition”.USA: Cambridge University Press, 2011. “Human Societies: A Curious Application of Thermodynamics.” Chemical Engineering Education Journal v. “Nonideal multicomponent distillation: Use of bifurcation theory for design”. “The complexification of engineering” Complexity, pp.
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“The hopf bifurcation and the existence and stability of closed orbits in multisector models of optimal economic growth”. “Complexity Economics: A Di?erent Framework for Economic Thought.” In: Santa Fe Institute Working Papers, 2013.īenhabib, J., “Cycles and Chaos in Economic Equilibrium”. “Integration of thermodynamic, quantum and hierarchical theories of information in the context of Peircean semiosis–a review”. For this, Complexity tools are essential, leading engineers to play an even more active role in society.Īndrade, E. Achieving this will prove far more effective through a change in education, where the focus is widened beyond typical problem solving and into the inclusion of the social impacts accompanying chemical processes. The role of chemical engineers in this redefinition could be crucial, if in addition to the conventional role on chemical processes, the holistic approach to problems that is coined in their formation is also exploited. His aforementioned concepts also manage to discuss the applications of Complexity within chemical engineering and economics, also leading to suggest a link to the Great Unification theories, through some elements of the Standard Model of Particles, in order to show some sort of parallelism based on bifurcation-like transformations taking place on elementary particles. As a branch of thermodynamics, Complexity was first studied through Prigogine’s Dissipative Structures, developing models that are able to simulate strange events present in nature, as bifurcation phenomena. This redefinition requires complex thinking if effective solutions are to be implemented. The devastating worldwide repercussions of recent events, those of which include the pandemic emergency, are showing with facts the need to redefine the paradigms of our current model of society, in regard to economics, education, health, etc.