Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Moacir Antonelli, Ponti"'
Autor:
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby, Frederico Santos de Oliveira, João Paulo Teixeira, Moacir Antonelli Ponti, Sandra Aluísio
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Speech provides a natural way for human–computer interaction. In particular, speech synthesis systems are popular in different applications, such as personal assistants, GPS applications, screen readers and accessibility tools. However, not all lan
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Autor:
Luiz Fernando Sommaggio Coletta, Ayan Acharya, Eduardo R. Hruschka, Moacir Antonelli Ponti, Joydeep Ghosh
Publikováno v:
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Made available in DSpace on 2019-10-04T12:38:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-09-17 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Discriminative classification models often assume all classes are available
Publikováno v:
IHC
Migraine is a phenomenon that affects thousands of people on a daily basis around the world. It is not surprising that many studies have been carried out to better understand migraine using statistical and machine learning techniques. Since such anal
Publikováno v:
2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).
Autor:
Marcela Martins, Chiudo, Patricia, Bet, Giovana Fondato, Costa, Maria Do Socorro Morais Pereira, Simões, Moacir Antonelli, Ponti, Victor Zuniga, Dourado, Paula Costa, Castro
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Human movement is considered one of the important factors for maintaining an independent life. Individuals in different age groups have different characteristics of locomotion patterns and some health conditions can affect or be affected by mobility
Autor:
Lucas Rafael Stefanel Gris, D. P. P. Da Silva, Edresson Casanova, Moacir Antonelli Ponti, M. Finger, Arnaldo Candido, R. C. Fernandes
Publikováno v:
Interspeech 2021.
In this work, we propose several techniques to address data scarceness in ComParE 2021 COVID-19 identification tasks for the application of deep models such as Convolutional Neural Networks. Data is initially preprocessed into spectrogram or MFCC-gra
Autor:
Frederico Santos de Oliveira, Arnaldo Candido Junior, Nicolas M. Müller, Anderson da Silva Soares, Eren Gölge, Moacir Antonelli Ponti, Sandra Maria Aluísio, Edresson Casanova, Christopher Shulby
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training. We propose a speaker-conditional architecture that explores a flow-based decoder that works
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f12c6e679ab503df011449ad4bbbe4ae
http://arxiv.org/abs/2104.05557
http://arxiv.org/abs/2104.05557
Publikováno v:
VISIGRAPP (5: VISAPP)
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7367ebd596f4dfbbdad8647dd2bc54