Carlos
Henrique
Tarjano
Santos
orcid.org/0000-0003-3134-2778
tesserato@hotmail.com
github.com/tesserato
soundcloud.com/carlos-tarjano
linkedin.com/in/carlostarjano
lattes.cnpq.br/0425671787603019
I have a Ph.D. in Production Engineering from the Fluminense Federal University (UFF) in Rio de Janeiro, Brazil. I am currently researching in the areas of machine learning and DSP, and developing digital instrument plugins.
EDUCATION
UFF - Universidade Federal Fluminense ( 2018 2022 ) PhD in Production Engineering
Plymouth University ( 2020 ) Visiting Research Fellow at ICCMR
UFF - Universidade Federal Fluminense ( 2017 2018 ) MSc in Production Engineering
CEFET - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca ( 2010 2015 ) Bachelor's Degree in Production Engineering
PUBLICATIONS
Carlos Tarjano A general algorithm for the real-time emulation of pitched musical instruments and the singing voice. PhD Thesis - Production Engineering - Fluminense Federal University, 2022. doi.org/10.22409/TPP.2022.d.11839251743. Also available at here (PDF) and here (online) .
Carlos Tarjano Valdecy Pereira An Efficient Algorithm For Segmenting Quasi-Periodic Digital Signals Into Pseudo Cycles: Application in Lossy Audio Compression. IEEE/ACM Transactions on Audio Speech and Language Processing. doi.org/10.1109/TASLP.2022.3171969.
Carlos Tarjano Valdecy Pereira Robust Digital Envelope Estimation Via Geometric Properties of an Arbitrary Real Signal. Digital Signal Processing, V.103229, 2021. doi.org/10.1016/j.dsp.2021.103229. Early manuscript available at arxiv.org/abs/2009.02860 .
Carlos Tarjano Valdecy Pereira Neuro-Spectral Audio Synthesis: Exploiting characteristics of the Discrete Fourier Transform in the real-time simulation of musical instruments using parallel Neural Networks. Lecture Notes in Computer Science V.11730, 2019. doi.org/10.1007/978-3-030-30490-4_30.
Carlos Tarjano Valdecy Pereira Simulação de instrumentos musicais acústicos em tempo real utilizando redes neurais paralelas no domínio da frequência. Anais do XXXIX Encontro Nacional De Engenharia De Produção - ENEGEP, 2019. dx.doi.org/10.14488/ENEGEP2019_TN_STO_292_1654_37336.
Carlos Tarjano Ruben Gutierrez Valdecy Pereira Traditional and alternative bibliometric indicators: assessing the evolution of interest in project management paradigms. Anais do XXXIX Encontro Nacional De Engenharia De Produção - ENEGEP, 2019. 2594-9713 .
Carlos Tarjano Redes neurais aplicadas à modelagem de instrumentos acústicos para síntese sonora em tempo real. Master's Degree Thesis - Production Engineering - Fluminense Federal University, 2018. dx.doi.org/10.22409/TPP.2018.m.11839251743 . Available online (Portuguese) .
Carlos Tarjano Valdecy Pereira Neural Networks as a Tool for Big Data: The State of the Art. Anais do I Simpósio Internacional de Network Science - SINS, 2017. networkscience.com.br/anais/ .
Carlos Tarjano Magda Leite Paula Purcidonio O Processo de Desenvolvimento de Produtos em Startups Baseadas em Inovação Criativa. Espacios. Vol. 37 (Nº 07). Pág. 6, 2016. 0798 1015 .
PROJECTS
2022 Omnes Sonos The first plugin to leverage neural networks to sound synthesis in real-time
2022 Harmonic Compression Lossy compression codec based ond pseudo cycles segmentation Registered in Brazil under the number BR512022000697-9
2021
Mark Book
Cross-platform songbook developed in Flutter
Available for
Registered in Brazil under the numbers
BR512022000618-9
BR512022000620-0
2021 Signal-envelope A Python module to extract the envelope of digital signals Registered in Brazil under the number BR512022000622-7
2021 BibRust Bibliographic manager made in Rust Registered in Brazil under the number BR512021000226-1
2020 Neural Piano Neural networks based piano software Registered in Brazil under the number BR512020001653-7
2018 SongB A minimalist songbook app with chord detection, easy chord repositioning and optimized C++ code Registered in Brazil under the number BR512020001654-5
SKILLS
| Python | |||||
| Pytorch | |||||
| C++ | |||||
| JUCE | |||||
| Dart / Flutter | |||||
| Rust | |||||
| JS / Html / CSS | |||||
| Tensorflow |
LANGUAGES
| Portuguese | |||||
| English | |||||
| Spanish |
