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Artigo de periodico
NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese (2023)
Leal, Sidney Evaldo ; Duran, Magali Sanches ; Scarton, Carolina Evaristo ; Hartmann, Nathan Siegle ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEAL, Sidney Evaldo et al. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. Language Resources and Evaluation, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10579-023-09693-w. Acesso em: 10 dez. 2023.
APA
Leal, S. E., Duran, M. S., Scarton, C. E., Hartmann, N. S., & Aluísio, S. M. (2023). NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. Language Resources and Evaluation. doi:10.1007/s10579-023-09693-w
NLM
Leal SE, Duran MS, Scarton CE, Hartmann NS, Aluísio SM. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-023-09693-w
Vancouver
Leal SE, Duran MS, Scarton CE, Hartmann NS, Aluísio SM. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-023-09693-w
Parte de monografia/livro
Recursos para o processamento de fala (2023)
Casanova, Edresson; Santos, Vinícius Gonçalves dos; Svartman, Flaviane Romani Fernandes; Leite, Marli Quadros; Candido Junior, Arnaldo; Marcacini, Ricardo Marcondes; Rezende, Solange Oliveira; Aluísio, Sandra Maria
Source: Processamento de linguagem natural : conceitos, técnicas e aplicações em português. Unidades: FFLCH, ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL, SÍNTESE DE FALA, RECONHECIMENTO DA FALA, EMOÇÕES
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ABNT
CASANOVA, Edresson et al. Recursos para o processamento de fala. Processamento de linguagem natural : conceitos, técnicas e aplicações em português. Tradução . São Carlos: BPLN, 2023. . Disponível em: https://brasileiraspln.com/livro-pln/1a-edicao/parte2/cap3/cap3.html. Acesso em: 10 dez. 2023.
APA
Casanova, E., Santos, V. G. dos, Svartman, F. R. F., Leite, M. Q., Candido Junior, A., Marcacini, R. M., et al. (2023). Recursos para o processamento de fala. In Processamento de linguagem natural : conceitos, técnicas e aplicações em português. São Carlos: BPLN. Recuperado de https://brasileiraspln.com/livro-pln/1a-edicao/parte2/cap3/cap3.html
NLM
Casanova E, Santos VG dos, Svartman FRF, Leite MQ, Candido Junior A, Marcacini RM, Rezende SO, Aluísio SM. Recursos para o processamento de fala [Internet]. In: Processamento de linguagem natural : conceitos, técnicas e aplicações em português. São Carlos: BPLN; 2023. [citado 2023 dez. 10 ] Available from: https://brasileiraspln.com/livro-pln/1a-edicao/parte2/cap3/cap3.html
Vancouver
Casanova E, Santos VG dos, Svartman FRF, Leite MQ, Candido Junior A, Marcacini RM, Rezende SO, Aluísio SM. Recursos para o processamento de fala [Internet]. In: Processamento de linguagem natural : conceitos, técnicas e aplicações em português. São Carlos: BPLN; 2023. [citado 2023 dez. 10 ] Available from: https://brasileiraspln.com/livro-pln/1a-edicao/parte2/cap3/cap3.html
Artigo de periodico
CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese (2023)
Candido Junior, Arnaldo ; Casanova, Edresson ; Soares, Anderson da Silva ; Oliveira, Frederico Santos de ; Oliveira, Lucas; Fernandes Junior, Ricardo Corso; Silva, Daniel Peixoto Pinto da ; Fayet, Fernando Gorgulho; Carlotto, Bruno Baldissera; Gris, Lucas Rafael Stefanel ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, LINGUÍSTICA DE CORPUS, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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ABNT
CANDIDO JUNIOR, Arnaldo et al. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. Language Resources and Evaluation, v. 57, n. 3, p. 1139-1171, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10579-022-09621-4. Acesso em: 10 dez. 2023.
APA
Candido Junior, A., Casanova, E., Soares, A. da S., Oliveira, F. S. de, Oliveira, L., Fernandes Junior, R. C., et al. (2023). CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. Language Resources and Evaluation, 57( 3), 1139-1171. doi:10.1007/s10579-022-09621-4
NLM
Candido Junior A, Casanova E, Soares A da S, Oliveira FS de, Oliveira L, Fernandes Junior RC, Silva DPP da, Fayet FG, Carlotto BB, Gris LRS, Aluísio SM. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ; 57( 3): 1139-1171.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-022-09621-4
Vancouver
Candido Junior A, Casanova E, Soares A da S, Oliveira FS de, Oliveira L, Fernandes Junior RC, Silva DPP da, Fayet FG, Carlotto BB, Gris LRS, Aluísio SM. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ; 57( 3): 1139-1171.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-022-09621-4
Trabalho de evento
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion (2023)
Casanova, Edresson ; Shulby, Christopher Dane ; Korolev, Alexander; Candido Junior, Arnaldo ; Soares, Anderson da Silva ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
CASANOVA, Edresson et al. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. 2023, Anais.. Baixas: ISCA, 2023. Disponível em: https://doi.org/10.21437/Interspeech.2023-496. Acesso em: 10 dez. 2023.
APA
Casanova, E., Shulby, C. D., Korolev, A., Candido Junior, A., Soares, A. da S., Aluísio, S. M., & Ponti, M. A. (2023). ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2023-496
NLM
Casanova E, Shulby CD, Korolev A, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/Interspeech.2023-496
Vancouver
Casanova E, Shulby CD, Korolev A, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion [Internet]. Proceedings. 2023 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/Interspeech.2023-496
Artigo de periodico
Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach (2022)
Gazzola, Murilo Gleyson ; Leal, Sidney Evaldo ; Pedroni, Breno ; Rocha, Fábio Theoto ; Pompéia, Sabine ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, PORTUGUÊS DO BRASIL
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ABNT
GAZZOLA, Murilo Gleyson et al. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, v. 56, n. 2, p. 621-650, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09571-3. Acesso em: 10 dez. 2023.
APA
Gazzola, M. G., Leal, S. E., Pedroni, B., Rocha, F. T., Pompéia, S., & Aluísio, S. M. (2022). Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, 56( 2), 621-650. doi:10.1007/s10579-021-09571-3
NLM
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Vancouver
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Artigo de periodico
RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese (2022)
Leal, Sidney Evaldo ; Lukasova, Katerina ; Carthery-Goulart, Maria Teresa ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
LEAL, Sidney Evaldo et al. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, v. 56, n. 4, p. 1333-1372, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-022-09609-0. Acesso em: 10 dez. 2023.
APA
Leal, S. E., Lukasova, K., Carthery-Goulart, M. T., & Aluísio, S. M. (2022). RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, 56( 4), 1333-1372. doi:10.1007/s10579-022-09609-0
NLM
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Vancouver
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Trabalho de evento
Brazilian portuguese: spoken, written and diachronic corpora (2022)
Mello, Heliana ; Raso, Tommaso ; Oliveira Junior, Miguel Jose Alves De ; Sardinha, Tony Berber ; Freitas, Claudia ; Aluísio, Sandra Maria ; Pardo, Thiago Alexandre Salgueiro ; Duran, Magali Sanches ; Leal, Sidney Evaldo ; Davies, Mark; Galves-Chambelland, Charlotte
Source: Proceedings. Conference titles: Congresso Internazionale di Studi della Società di Linguistica Italiana. Unidade: ICMC
Subjects: LINGUÍSTICA DE CORPUS, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
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ABNT
MELLO, Heliana et al. Brazilian portuguese: spoken, written and diachronic corpora. 2022, Anais.. Milano: Società di Linguistica Italiana, 2022. Disponível em: https://doi.org/10.17469/O2106SLI000011. Acesso em: 10 dez. 2023.
APA
Mello, H., Raso, T., Oliveira Junior, M. J. A. D., Sardinha, T. B., Freitas, C., Aluísio, S. M., et al. (2022). Brazilian portuguese: spoken, written and diachronic corpora. In Proceedings. Milano: Società di Linguistica Italiana. doi:10.17469/O2106SLI000011
NLM
Mello H, Raso T, Oliveira Junior MJAD, Sardinha TB, Freitas C, Aluísio SM, Pardo TAS, Duran MS, Leal SE, Davies M, Galves-Chambelland C. Brazilian portuguese: spoken, written and diachronic corpora [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.17469/O2106SLI000011
Vancouver
Mello H, Raso T, Oliveira Junior MJAD, Sardinha TB, Freitas C, Aluísio SM, Pardo TAS, Duran MS, Leal SE, Davies M, Galves-Chambelland C. Brazilian portuguese: spoken, written and diachronic corpora [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.17469/O2106SLI000011
Trabalho de evento
Detecting respiratory insufficiency by voice analysis: the SPIRA project (2022)
Aluísio, Sandra Maria ; Camargo Neto, Augusto César de; Casanova, Edresson ; Svartman, Flaviane Romani Fernandes ; Ferreira, Renato Cordeiro ; Finger, Marcelo ; Goldman, Alfredo ; Leyton, Pedro; Levin, Anna Sara ; Gauy, Marcelo Matheus ; Martins, Marcus; Queiroz, Marcelo Gomes de ; Medeiros, Beatriz Raposo de ; Sabino, Ester Cerdeira ; Candido Junior, Arnaldo ; Fernandes Júnior, Ricardo; Gris, Lucas Rafael Stefanel ; Silva, Daniel da; Spazzapan, Evelyn Alves ; Berti, Larissa Cristina ; Quirino, J. Henrique
Source: Proceedings. Conference titles: International Conference on Learning Representations - ICLR. Unidades: ICMC, FFLCH, IME, FM
Subjects: RECONHECIMENTO DE VOZ, INSUFICIÊNCIA RESPIRATÓRIA, TECNOLOGIAS DA SAÚDE
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ABNT
ALUÍSIO, Sandra Maria et al. Detecting respiratory insufficiency by voice analysis: the SPIRA project. 2022, Anais.. Appleton: [s.n.], 2022. Disponível em: https://pml4dc.github.io/iclr2022/pdf/PML4DC_ICLR2022_10.pdf. Acesso em: 10 dez. 2023.
APA
Aluísio, S. M., Camargo Neto, A. C. de, Casanova, E., Svartman, F. R. F., Ferreira, R. C., Finger, M., et al. (2022). Detecting respiratory insufficiency by voice analysis: the SPIRA project. In Proceedings. Appleton: [s.n.]. Recuperado de https://pml4dc.github.io/iclr2022/pdf/PML4DC_ICLR2022_10.pdf
NLM
Aluísio SM, Camargo Neto AC de, Casanova E, Svartman FRF, Ferreira RC, Finger M, Goldman A, Leyton P, Levin AS, Gauy MM, Martins M, Queiroz MG de, Medeiros BR de, Sabino EC, Candido Junior A, Fernandes Júnior R, Gris LRS, Silva D da, Spazzapan EA, Berti LC, Quirino JH. Detecting respiratory insufficiency by voice analysis: the SPIRA project [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://pml4dc.github.io/iclr2022/pdf/PML4DC_ICLR2022_10.pdf
Vancouver
Aluísio SM, Camargo Neto AC de, Casanova E, Svartman FRF, Ferreira RC, Finger M, Goldman A, Leyton P, Levin AS, Gauy MM, Martins M, Queiroz MG de, Medeiros BR de, Sabino EC, Candido Junior A, Fernandes Júnior R, Gris LRS, Silva D da, Spazzapan EA, Berti LC, Quirino JH. Detecting respiratory insufficiency by voice analysis: the SPIRA project [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://pml4dc.github.io/iclr2022/pdf/PML4DC_ICLR2022_10.pdf
Artigo de periodico
TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese (2022)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Teixeira, João Paulo ; Ponti, Moacir Antonelli ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: CORPUS, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL, INTERFACE HOMEM-COMPUTADOR, PORTUGUÊS DO BRASIL
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ABNT
CASANOVA, Edresson et al. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, v. 56, n. 3, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09570-4. Acesso em: 10 dez. 2023.
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Teixeira, J. P., Ponti, M. A., & Aluísio, S. M. (2022). TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, 56( 3), Se 2022. doi:10.1007/s10579-021-09570-4
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Trabalho de evento
CORAA NURC-SP minimal corpus: a manually annotated corpus of brazilian portuguese spontaneous speech (2022)
Santos, Vinícius Gonçalves dos ; Alves, Caroline; Carlotto, Bruno Baldissera; Dias, Bruno Angelo Papa ; Gris, Lucas Rafael Stefanel ; Izaias, Renan; Morais, Maria Luiza; Oliveira, Paula; Sicoli, Rafael; Svartman, Flaviane Romani Fernandes ; Leite, Marli Quadros ; Aluísio, Sandra Maria
Source: Proceedings. Conference titles: IberSPEECH Conference - IberSPEECH. Unidades: FFLCH, ICMC
Subjects: TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
SANTOS, Vinícius Gonçalves dos et al. CORAA NURC-SP minimal corpus: a manually annotated corpus of brazilian portuguese spontaneous speech. 2022, Anais.. Baixas: ISCA, 2022. Disponível em: https://doi.org/10.21437/IberSPEECH.2022-33. Acesso em: 10 dez. 2023.
APA
Santos, V. G. dos, Alves, C., Carlotto, B. B., Dias, B. A. P., Gris, L. R. S., Izaias, R., et al. (2022). CORAA NURC-SP minimal corpus: a manually annotated corpus of brazilian portuguese spontaneous speech. In Proceedings. Baixas: ISCA. doi:10.21437/IberSPEECH.2022-33
NLM
Santos VG dos, Alves C, Carlotto BB, Dias BAP, Gris LRS, Izaias R, Morais ML, Oliveira P, Sicoli R, Svartman FRF, Leite MQ, Aluísio SM. CORAA NURC-SP minimal corpus: a manually annotated corpus of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/IberSPEECH.2022-33
Vancouver
Santos VG dos, Alves C, Carlotto BB, Dias BAP, Gris LRS, Izaias R, Morais ML, Oliveira P, Sicoli R, Svartman FRF, Leite MQ, Aluísio SM. CORAA NURC-SP minimal corpus: a manually annotated corpus of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/IberSPEECH.2022-33
Trabalho de evento
Bringing NURC/SP to digital life: the role of open-source automatic speech recognition models (2022)
Gris, Lucas Rafael Stefanel ; Candido Junior, Arnaldo ; Santos, Vinícius Gonçalves dos ; Dias, Bruno Angelo Papa ; Leite, Marli Quadros ; Svartman, Flaviane Romani Fernandes ; Aluísio, Sandra Maria
Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidades: FFLCH, ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS, PORTUGUÊS DO BRASIL
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ABNT
GRIS, Lucas Rafael Stefanel et al. Bringing NURC/SP to digital life: the role of open-source automatic speech recognition models. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/eniac.2022.227305. Acesso em: 10 dez. 2023.
APA
Gris, L. R. S., Candido Junior, A., Santos, V. G. dos, Dias, B. A. P., Leite, M. Q., Svartman, F. R. F., & Aluísio, S. M. (2022). Bringing NURC/SP to digital life: the role of open-source automatic speech recognition models. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2022.227305
NLM
Gris LRS, Candido Junior A, Santos VG dos, Dias BAP, Leite MQ, Svartman FRF, Aluísio SM. Bringing NURC/SP to digital life: the role of open-source automatic speech recognition models [Internet]. Anais. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/eniac.2022.227305
Vancouver
Gris LRS, Candido Junior A, Santos VG dos, Dias BAP, Leite MQ, Svartman FRF, Aluísio SM. Bringing NURC/SP to digital life: the role of open-source automatic speech recognition models [Internet]. Anais. 2022 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.5753/eniac.2022.227305
Trabalho de evento
Using open information extraction to extract relations: an extended systematic mapping (2021)
Santos, Vinicius dos ; Silva, Patrick R; Souza, Érica Ferreira de ; Felizardo, Katia Romero ; Watanabe, Willian Massami ; Candido Junior, Arnaldo ; Meinerz, Giovani V ; Aluísio, Sandra Maria ; Vijaykumar, Nandamudi Lankalapalli
Source: Proceedings. Conference titles: Latin American Computing Conference - CLEI. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, REVISÃO SISTEMÁTICA
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ABNT
SANTOS, Vinicius dos et al. Using open information extraction to extract relations: an extended systematic mapping. 2021, Anais.. Danvers: IEEE, 2021. Disponível em: https://doi.org/10.1109/CLEI53233.2021.9639968. Acesso em: 10 dez. 2023.
APA
Santos, V. dos, Silva, P. R., Souza, É. F. de, Felizardo, K. R., Watanabe, W. M., Candido Junior, A., et al. (2021). Using open information extraction to extract relations: an extended systematic mapping. In Proceedings. Danvers: IEEE. doi:10.1109/CLEI53233.2021.9639968
NLM
Santos V dos, Silva PR, Souza ÉF de, Felizardo KR, Watanabe WM, Candido Junior A, Meinerz GV, Aluísio SM, Vijaykumar NL. Using open information extraction to extract relations: an extended systematic mapping [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9639968
Vancouver
Santos V dos, Silva PR, Souza ÉF de, Felizardo KR, Watanabe WM, Candido Junior A, Meinerz GV, Aluísio SM, Vijaykumar NL. Using open information extraction to extract relations: an extended systematic mapping [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/CLEI53233.2021.9639968
Trabalho de evento
SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model (2021)
Casanova, Edresson ; Shulby, Christopher Dane ; Gölge, Eren; Müller, Nicolas Michael; Oliveira, Frederico Santos de; Candido Junior, Arnaldo ; Soares, Anderson da Silva ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS, RECONHECIMENTO DE TEXTO, RECONHECIMENTO DE VOZ
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. 2021, Anais.. Baixas: ISCA, 2021. Disponível em: https://doi.org/10.21437/Interspeech.2021-1774. Acesso em: 10 dez. 2023.
APA
Casanova, E., Shulby, C. D., Gölge, E., Müller, N. M., Oliveira, F. S. de, Candido Junior, A., et al. (2021). SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2021-1774
NLM
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
Vancouver
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
Trabalho de evento
Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech (2021)
Casanova, Edresson ; Gris, Lucas; Camargo, Augusto; Silva, Daniel da; Gazzola, Murilo Gleyson ; Sabino, Ester Cerdeira ; Levin, Anna Sara Shafferman ; Candido Junior, Arnaldo ; Aluísio, Sandra Maria ; Finger, Marcelo
Source: Proceedings. Conference titles: Annual Meeting of the Association for Computational Linguistics - ACL. Unidades: FM, ICMC, IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZAGEM PROFUNDA, REDES NEURAIS, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, INSUFICIÊNCIA RESPIRATÓRIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech. 2021, Anais.. Stroudsburg: ACL, 2021. Disponível em: https://doi.org/10.18653/v1/2021.findings-acl.55. Acesso em: 10 dez. 2023.
APA
Casanova, E., Gris, L., Camargo, A., Silva, D. da, Gazzola, M. G., Sabino, E. C., et al. (2021). Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech. In Proceedings. Stroudsburg: ACL. doi:10.18653/v1/2021.findings-acl.55
NLM
Casanova E, Gris L, Camargo A, Silva D da, Gazzola MG, Sabino EC, Levin ASS, Candido Junior A, Aluísio SM, Finger M. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.18653/v1/2021.findings-acl.55
Vancouver
Casanova E, Gris L, Camargo A, Silva D da, Gazzola MG, Sabino EC, Levin ASS, Candido Junior A, Aluísio SM, Finger M. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.18653/v1/2021.findings-acl.55
Trabalho de evento-anais periodico
Evaluating semantic similarity methods to build semantic predictability norms of reading data (2021)
Leal, Sidney Evaldo ; Casanova, Edresson ; Paetzold, Gustavo Henrique ; Aluísio, Sandra Maria
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Text, Speech, and Dialogue - TSD. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA DE CORPUS, SEMÂNTICA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEAL, Sidney Evaldo et al. Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-83527-9_3. Acesso em: 10 dez. 2023. , 2021
APA
Leal, S. E., Casanova, E., Paetzold, G. H., & Aluísio, S. M. (2021). Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-83527-9_3
NLM
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
Vancouver
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
Parte de monografia/livro
Detecting respiratory insufficiency by voice analysis: the SPIRA project (2021)
Finger, Marcelo ; Aluísio, Sandra Maria ; Spazzapan, Evelyn Alves ; Berti, Larissa Cristina; Camargo Neto, Augusto César de; Candido Junior, Arnaldo ; Casanova, Edresson ; Svartman, Flaviane Romani Fernandes ; Ferreira, Renato Cordeiro ; Fernandes Jr, Ricardo; Goldman, Alfredo ; Gris, Lucas R; Leyton, Pedro; Levin, Anna Sara Shafferman ; Martins, Marcus Vinicíus Moreira; Queiroz, Marcelo Gomes de ; Quirino, J Henrique; Medeiros, Beatriz Raposo de ; Sabino, Ester Cerdeira ; Silva, Daniel da
Source: Acoustic communication : an interdisciplinary approach. Unidades: IME, ICMC, FFLCH, FM
Subjects: REDES NEURAIS, BIOMARCADORES, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FINGER, Marcelo et al. Detecting respiratory insufficiency by voice analysis: the SPIRA project. Acoustic communication : an interdisciplinary approach. Tradução . São Paulo: Instituto de Psicologia. Universidade de São Paulo, 2021. . Disponível em: https://doi.org/10.11606/9786587596198. Acesso em: 10 dez. 2023.
APA
Finger, M., Aluísio, S. M., Spazzapan, E. A., Berti, L. C., Camargo Neto, A. C. de, Candido Junior, A., et al. (2021). Detecting respiratory insufficiency by voice analysis: the SPIRA project. In Acoustic communication : an interdisciplinary approach. São Paulo: Instituto de Psicologia. Universidade de São Paulo. doi:10.11606/9786587596198
NLM
Finger M, Aluísio SM, Spazzapan EA, Berti LC, Camargo Neto AC de, Candido Junior A, Casanova E, Svartman FRF, Ferreira RC, Fernandes Jr R, Goldman A, Gris LR, Leyton P, Levin ASS, Martins MVM, Queiroz MG de, Quirino JH, Medeiros BR de, Sabino EC, Silva D da. Detecting respiratory insufficiency by voice analysis: the SPIRA project [Internet]. In: Acoustic communication : an interdisciplinary approach. São Paulo: Instituto de Psicologia. Universidade de São Paulo; 2021. [citado 2023 dez. 10 ] Available from: https://doi.org/10.11606/9786587596198
Vancouver
Finger M, Aluísio SM, Spazzapan EA, Berti LC, Camargo Neto AC de, Candido Junior A, Casanova E, Svartman FRF, Ferreira RC, Fernandes Jr R, Goldman A, Gris LR, Leyton P, Levin ASS, Martins MVM, Queiroz MG de, Quirino JH, Medeiros BR de, Sabino EC, Silva D da. Detecting respiratory insufficiency by voice analysis: the SPIRA project [Internet]. In: Acoustic communication : an interdisciplinary approach. São Paulo: Instituto de Psicologia. Universidade de São Paulo; 2021. [citado 2023 dez. 10 ] Available from: https://doi.org/10.11606/9786587596198
Trabalho de evento-anais periodico
Speech2Phone: a novel and efficient method for training speaker recognition models (2021)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Gris, Lucas Rafael Stefanel ; Silva, Hamilton Pereira da ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91699-2_39. Acesso em: 10 dez. 2023. , 2021
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Gris, L. R. S., Silva, H. P. da, et al. (2021). Speech2Phone: a novel and efficient method for training speaker recognition models. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-91699-2_39
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Gris LRS, Silva HP da, Aluísio SM, Ponti MA. Speech2Phone: a novel and efficient method for training speaker recognition models [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 13074 572-585.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39
Parte de monografia/livro
Deep learning approaches for speech synthesis and speaker verification (2021)
Casanova, Edresson ; Shulby, Christopher Dane ; Aluísio, Sandra Maria
Source: Acoustic communication : an interdisciplinary approach. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SÍNTESE DE FALA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson e SHULBY, Christopher Dane e ALUÍSIO, Sandra Maria. Deep learning approaches for speech synthesis and speaker verification. Acoustic communication : an interdisciplinary approach. Tradução . São Paulo: IP-USP, 2021. . Disponível em: https://doi.org/10.11606/9786587596198. Acesso em: 10 dez. 2023.
APA
Casanova, E., Shulby, C. D., & Aluísio, S. M. (2021). Deep learning approaches for speech synthesis and speaker verification. In Acoustic communication : an interdisciplinary approach. São Paulo: IP-USP. doi:10.11606/9786587596198
NLM
Casanova E, Shulby CD, Aluísio SM. Deep learning approaches for speech synthesis and speaker verification [Internet]. In: Acoustic communication : an interdisciplinary approach. São Paulo: IP-USP; 2021. [citado 2023 dez. 10 ] Available from: https://doi.org/10.11606/9786587596198
Vancouver
Casanova E, Shulby CD, Aluísio SM. Deep learning approaches for speech synthesis and speaker verification [Internet]. In: Acoustic communication : an interdisciplinary approach. São Paulo: IP-USP; 2021. [citado 2023 dez. 10 ] Available from: https://doi.org/10.11606/9786587596198
Trabalho de evento
Using natural language processing to build graphical abstracts to be used in studies selection activity in secondary studies (2021)
Santos, Vinicius dos ; Souza, Érica Ferreira de ; Felizardo, Katia Romero ; Watanabe, Willian Massami ; Candido Junior, Arnaldo ; Aluísio, Sandra Maria ; Vijaykumar, Nandamudi Lankalapalli
Source: Proceedings. Conference titles: Euromicro Conference on Software Engineering and Advanced Applications - SEAA. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REVISÃO SISTEMÁTICA, MAPAS CONCEITUAIS, ENGENHARIA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Vinicius dos et al. Using natural language processing to build graphical abstracts to be used in studies selection activity in secondary studies. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SEAA53835.2021.00009. Acesso em: 10 dez. 2023.
APA
Santos, V. dos, Souza, É. F. de, Felizardo, K. R., Watanabe, W. M., Candido Junior, A., Aluísio, S. M., & Vijaykumar, N. L. (2021). Using natural language processing to build graphical abstracts to be used in studies selection activity in secondary studies. In Proceedings. Piscataway: IEEE. doi:10.1109/SEAA53835.2021.00009
NLM
Santos V dos, Souza ÉF de, Felizardo KR, Watanabe WM, Candido Junior A, Aluísio SM, Vijaykumar NL. Using natural language processing to build graphical abstracts to be used in studies selection activity in secondary studies [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/SEAA53835.2021.00009
Vancouver
Santos V dos, Souza ÉF de, Felizardo KR, Watanabe WM, Candido Junior A, Aluísio SM, Vijaykumar NL. Using natural language processing to build graphical abstracts to be used in studies selection activity in secondary studies [Internet]. Proceedings. 2021 ;[citado 2023 dez. 10 ] Available from: https://doi.org/10.1109/SEAA53835.2021.00009
Trabalho de evento-anais periodico
A dataset for the evaluation of lexical simplification in portuguese for children (2020)
Hartmann, Nathan Siegle; Paetzold, Gustavo Henrique ; Aluísio, Sandra Maria
Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: LINGUÍSTICA COMPUTACIONAL, LEXICOLOGIA, BENCHMARKS, LINGUAGEM INFANTIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HARTMANN, Nathan Siegle e PAETZOLD, Gustavo Henrique e ALUÍSIO, Sandra Maria. A dataset for the evaluation of lexical simplification in portuguese for children. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-41505-1_6. Acesso em: 10 dez. 2023. , 2020
APA
Hartmann, N. S., Paetzold, G. H., & Aluísio, S. M. (2020). A dataset for the evaluation of lexical simplification in portuguese for children. Cham: Springer. doi:10.1007/978-3-030-41505-1_6
NLM
Hartmann NS, Paetzold GH, Aluísio SM. A dataset for the evaluation of lexical simplification in portuguese for children [Internet]. 2020 ; 12037 55-64.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-41505-1_6
Vancouver
Hartmann NS, Paetzold GH, Aluísio SM. A dataset for the evaluation of lexical simplification in portuguese for children [Internet]. 2020 ; 12037 55-64.[citado 2023 dez. 10 ] Available from: https://doi.org/10.1007/978-3-030-41505-1_6

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