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Trabalho de evento
BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus (2022)
Meyer, Josh; Adelani, David Ifeoluwa; Casanova, Edresson ; Öktem, Alp ; Whitenack, Daniel; Weber, Julian; Kabongo, Salomon ; Salesky, Elizabeth ; Orife, Iroro; Leong, Colin; Ogayo, Perez; Emezue, Chris; Mukiibi, Jonathan; Osei, Salomey; Agbolo, Apelete; Akinode, Victor; Opoku, Bernard; Olanrewaju, Samuel; Alabi, Jesujoba ; Muhammad, Shamsuddeen
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Subjects: CORPUS, RECONHECIMENTO DE VOZ, SÍNTESE DE FALA, LÍNGUAS AFRICANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEYER, Josh et al. BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus. 2022, Anais.. Baixas: ISCA, 2022. Disponível em: https://doi.org/10.21437/Interspeech.2022-10850. Acesso em: 28 maio 2024.
APA
Meyer, J., Adelani, D. I., Casanova, E., Öktem, A., Whitenack, D., Weber, J., et al. (2022). BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2022-10850
NLM
Meyer J, Adelani DI, Casanova E, Öktem A, Whitenack D, Weber J, Kabongo S, Salesky E, Orife I, Leong C, Ogayo P, Emezue C, Mukiibi J, Osei S, Agbolo A, Akinode V, Opoku B, Olanrewaju S, Alabi J, Muhammad S. BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus [Internet]. Proceedings. 2022 ;[citado 2024 maio 28 ] Available from: https://doi.org/10.21437/Interspeech.2022-10850
Vancouver
Meyer J, Adelani DI, Casanova E, Öktem A, Whitenack D, Weber J, Kabongo S, Salesky E, Orife I, Leong C, Ogayo P, Emezue C, Mukiibi J, Osei S, Agbolo A, Akinode V, Opoku B, Olanrewaju S, Alabi J, Muhammad S. BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus [Internet]. Proceedings. 2022 ;[citado 2024 maio 28 ] Available from: https://doi.org/10.21437/Interspeech.2022-10850
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 28 maio 2024.
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 2024 maio 28 ] 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 2024 maio 28 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Trabalho de evento-anais periodico
YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone (2022)
Casanova, Edresson ; Weber, Julian; Shulby, Christopher Dane ; Candido Junior, Arnaldo ; Gölge, Eren; Ponti, Moacir Antonelli
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: International Conference on Machine Learning - ICML. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DA FALA, SÍNTESE DE FALA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v162/casanova22a.html. Acesso em: 28 maio 2024. , 2022
APA
Casanova, E., Weber, J., Shulby, C. D., Candido Junior, A., Gölge, E., & Ponti, M. A. (2022). YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v162/casanova22a.html
NLM
Casanova E, Weber J, Shulby CD, Candido Junior A, Gölge E, Ponti MA. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 162 2709-2720.[citado 2024 maio 28 ] Available from: https://proceedings.mlr.press/v162/casanova22a.html
Vancouver
Casanova E, Weber J, Shulby CD, Candido Junior A, Gölge E, Ponti MA. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 162 2709-2720.[citado 2024 maio 28 ] Available from: https://proceedings.mlr.press/v162/casanova22a.html
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: 28 maio 2024.
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 2024 maio 28 ] 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 2024 maio 28 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
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: 28 maio 2024. , 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 2024 maio 28 ] 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 2024 maio 28 ] Available from: https://doi.org/10.1007/978-3-030-91699-2_39

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