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EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2013)
Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings
The paper presents a novel architecture and method for speech synthesis in multiple languages, in voices of multiple speakers and in multiple speaking styles, even in cases when speech from a particular speaker in the ...
Shape, connectedness and dynamics in neuronal networks
(Elsevier BVAmsterdam, 2013-11)
The morphology of neurons is directly related to several aspects of the nervous system, including its connectedness, health, development, evolution, dynamics and, ultimately, behavior. Such interplays of the neuronal ...
Artificial neural network modeling studies to predict the yield of enzymatic synthesis of betulinic acid ester
(Pontificia Universidad Católica de Valparaíso, 2010)
LSTM deep neural networks postfiltering for improving the quality of synthetic voices
(2016)
Recent developments in speech synthesis have produced systems capable of providing intelligible speech, and researchers now strive to create models that more accurately mimic human voices. One such development is the ...
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)
Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...
Síntese de voz aplicada ao português brasileiro usando aprendizado profundo
(Universidade Tecnológica Federal do ParanáMedianeiraBrasilCiência da ComputaçãoUTFPR, 2019-07-01)
Deep Artificial Neural Networks have been used to solve a wide range of problems. In particular, such methodology allowed to substantially increase the state of the art in the area of speech synthesis. In this work we ...