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pro vyhledávání: '"Stefan, Daniel"'
We describe an end-to-end speech synthesis system that uses generative adversarial training. We train our Vocoder for raw phoneme-to-audio conversion, using explicit phonetic, pitch and duration modeling. We experiment with several pre-trained models
Externí odkaz:
http://arxiv.org/abs/2310.09636
Publikováno v:
Frontiers in Psychology, Vol 14 (2024)
IntroductionLearning English as a foreign language is necessary for many students to actively participate in an increasingly globalized world. This study explores the role of informal English language engagement for students’ reading and listening
Externí odkaz:
https://doaj.org/article/9aab6a5d1c2049469ed483b857875c93
Large-scale pretrained language models have become ubiquitous in Natural Language Processing. However, most of these models are available either in high-resource languages, in particular English, or as multilingual models that compromise performance
Externí odkaz:
http://arxiv.org/abs/2009.08712
We present RONEC - the Named Entity Corpus for the Romanian language. The corpus contains over 26000 entities in ~5000 annotated sentences, belonging to 16 distinct classes. The sentences have been extracted from a copy-right free newspaper, covering
Externí odkaz:
http://arxiv.org/abs/1909.01247
Autor:
Acosta, Stefan Daniel1, Alvarez, Rosa Elvira2, Urbano, Astrid Lorena3 alurbano@unicauca.edu.co
Publikováno v:
NOVA: Publicación Científica en Ciencias Biomédicas. ene-jun2024, Vol. 22 Issue 42, p99-112. 14p.
In this paper we introduce a set of resources and tools aimed at providing support for natural language processing, text-to-speech synthesis and speech recognition for Romanian. While the tools are general purpose and can be used for any language (we
Externí odkaz:
http://arxiv.org/abs/1802.05583
Publikováno v:
In Technology in Society May 2022 69
Autor:
Ingibergsson, Johann Thor Mogensen, Suvei, Stefan-Daniel, Hansen, Mikkel Kragh, Christiansen, Peter, Schultz, Ulrik Pagh
This paper is an extension to an early presented programming language, called a domain specific language. This paper extends the proposed concept with new sensors and behaviours to address real-life situations. The functionality was tested in lab exp
Externí odkaz:
http://arxiv.org/abs/1603.01965
Autor:
Achirei, Stefan-Daniel1 (AUTHOR) stefan-daniel.achirei@academic.tuiasi.ro, Mocanu, Razvan2 (AUTHOR), Popovici, Alexandru-Tudor1 (AUTHOR), Dosoftei, Constantin-Catalin2 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2023, Vol. 23 Issue 11, p4992. 21p.
Publikováno v:
Sensors, Vol 23, Iss 11, p 4992 (2023)
Object detection is an essential component of autonomous mobile robotic systems, enabling robots to understand and interact with the environment. Object detection and recognition have made significant progress using convolutional neural networks (CNN
Externí odkaz:
https://doaj.org/article/d8514629e269493c92fc549758629409