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Trabalho de evento
Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings (2020)
Figueiredo, Nicolas Silvério; Queiroz, Marcelo Gomes de
Fonte: Proceedings. Nome do evento: Sound and Music Computing Conference - SMC. Unidade: IME
Assuntos: COMPUTAÇÃO MUSICAL, TEMPO (MÚSICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIGUEIREDO, Nicolas Silvério e QUEIROZ, Marcelo Gomes de. Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings. 2020, Anais.. Torino: Axea sas/SMC Network, 2020. Disponível em: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_152.pdf. Acesso em: 15 nov. 2025.
APA
Figueiredo, N. S., & Queiroz, M. G. de. (2020). Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings. In Proceedings. Torino: Axea sas/SMC Network. Recuperado de https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_152.pdf
NLM
Figueiredo NS, Queiroz MG de. Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings [Internet]. Proceedings. 2020 ;[citado 2025 nov. 15 ] Available from: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_152.pdf
Vancouver
Figueiredo NS, Queiroz MG de. Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings [Internet]. Proceedings. 2020 ;[citado 2025 nov. 15 ] Available from: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_152.pdf
Trabalho de evento
Speech sound disorder classification based on time-aligned dissimilarity profiles (2020)
Yoshimura, Guilherme Jun; Queiroz, Marcelo Gomes de ; Wertzner, Haydée Fiszbein; Francisco, Danira Tavares
Fonte: Proceedings. Nome do evento: Sound and Music Computing Conference - SMC. Unidades: IME, FM
Assuntos: DISTÚRBIOS DA FALA, COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOSHIMURA, Guilherme Jun et al. Speech sound disorder classification based on time-aligned dissimilarity profiles. 2020, Anais.. Torino: Axea sas/SMC Network, 2020. Disponível em: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_130.pdf. Acesso em: 15 nov. 2025.
APA
Yoshimura, G. J., Queiroz, M. G. de, Wertzner, H. F., & Francisco, D. T. (2020). Speech sound disorder classification based on time-aligned dissimilarity profiles. In Proceedings. Torino: Axea sas/SMC Network. Recuperado de https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_130.pdf
NLM
Yoshimura GJ, Queiroz MG de, Wertzner HF, Francisco DT. Speech sound disorder classification based on time-aligned dissimilarity profiles [Internet]. Proceedings. 2020 ;[citado 2025 nov. 15 ] Available from: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_130.pdf
Vancouver
Yoshimura GJ, Queiroz MG de, Wertzner HF, Francisco DT. Speech sound disorder classification based on time-aligned dissimilarity profiles [Internet]. Proceedings. 2020 ;[citado 2025 nov. 15 ] Available from: https://smc2020torino.it/adminupload/file/SMCCIM_2020_paper_130.pdf
Trabalho de evento
Real-time unsupervised music structural segmentation using dynamic descriptors (2011)
Pires, André Salim; Queiroz, Marcelo Gomes de
Fonte: Proceedings. Nome do evento: Sound and Music Computing Conference - SMC. Unidade: IME
Assunto: COMPUTAÇÃO MUSICAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIRES, André Salim e QUEIROZ, Marcelo Gomes de. Real-time unsupervised music structural segmentation using dynamic descriptors. 2011, Anais.. Padova: Padova University Press, 2011. Disponível em: https://doi.org/10.5281/zenodo.1400731. Acesso em: 15 nov. 2025.
APA
Pires, A. S., & Queiroz, M. G. de. (2011). Real-time unsupervised music structural segmentation using dynamic descriptors. In Proceedings. Padova: Padova University Press. doi:10.5281/zenodo.1400731
NLM
Pires AS, Queiroz MG de. Real-time unsupervised music structural segmentation using dynamic descriptors [Internet]. Proceedings. 2011 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.5281/zenodo.1400731
Vancouver
Pires AS, Queiroz MG de. Real-time unsupervised music structural segmentation using dynamic descriptors [Internet]. Proceedings. 2011 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.5281/zenodo.1400731
Trabalho de evento
Ensemble: implementing a musical multiagent system framework (2011)
Thomaz, Leandro Ferrari; Queiroz, Marcelo Gomes de
Fonte: Proceedings. Nome do evento: Sound and Music Computing Conference - SMC. Unidade: IME
Assuntos: COMPUTAÇÃO MUSICAL, SISTEMAS MULTIAGENTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
THOMAZ, Leandro Ferrari e QUEIROZ, Marcelo Gomes de. Ensemble: implementing a musical multiagent system framework. 2011, Anais.. Padova: Padova University Press, 2011. Disponível em: https://doi.org/10.5281/zenodo.1400731. Acesso em: 15 nov. 2025.
APA
Thomaz, L. F., & Queiroz, M. G. de. (2011). Ensemble: implementing a musical multiagent system framework. In Proceedings. Padova: Padova University Press. doi:10.5281/zenodo.1400731
NLM
Thomaz LF, Queiroz MG de. Ensemble: implementing a musical multiagent system framework [Internet]. Proceedings. 2011 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.5281/zenodo.1400731
Vancouver
Thomaz LF, Queiroz MG de. Ensemble: implementing a musical multiagent system framework [Internet]. Proceedings. 2011 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.5281/zenodo.1400731

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