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pro vyhledávání: '"Fabrício Lopes Sanchez"'
Autor:
Fabrício Lopes Sanchez
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Este trabalho apresenta um estudo comparativo entre diferentes famílias de transformada Wavelet aplicadas à análise cepstral de sinais digitais de fala humana, com o objetivo específico de determinar o período de pitch dos mesmos e, ao final, pr
Autor:
Shi-Huang Chen, Carlos Dias Maciel, Paulo Rogério Scalassara, Rodrigo Capobianco Guido, Sylvio Barbon, José Carlos Pereira, Everthon Silva Fonseca, Lucimar Sasso Vieira, Fabrício Lopes Sanchez
Publikováno v:
Journal of Computational and Applied Mathematics. 227:271-287
Dynamic Time Warping (DTW), a pattern matching technique traditionally used for restricted vocabulary speech recognition, is based on a temporal alignment of the input signal with the template models. The principal drawback of DTW is its high computa
Autor:
Rodrigo Capobianco Guido, Fabrício Lopes Sanchez, Lucimar Sasso Vieira, Sylvio Barbon Junior, Carlos Dias Maciel, José Carlos Pereira, Everthon Silva Fonseca
Publikováno v:
Neurocomputing. 71:174-180
In this letter we propose a new architecture for voice conversion that is based on a joint neural-wavelet approach. We also examine the characteristics of many wavelet families and determine the one that best matches the requirements of the proposed
Autor:
Paulo Rogério Scalassara, Lucimar Sasso Vieira, Fabrício Lopes Sanchez, Rodrigo Capobianco Guido, Sylvio Barbon Junior, José Carlos Pereira, Carlos Dias Maciel, Vitor Muller Puia
Publikováno v:
International Journal of Semantic Computing. :347-357
This work presents a spoken document summarization (SDS) scheme that is based on an improved version of the Dynamic Time Warping (DTW) algorithm, and on the Discrete Wavelet Transform (DWT). Tests and results with sentences extracted from TIMIT speec
Autor:
Rodrigo Capobianco Guido, Carlos Dias Maciel, Paulo Rogério Scalassara, Fabrício Lopes Sanchez, Lucimar Sasso Vieira, José Carlos Pereira, Júnior Sylvio Barbon, Shi-Huang Chen, Everthon Silva Fonseca
In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It can be used for real time precise pitch determination in automatic speech and speaker recognition systems. Many wavelet families are examined to deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06b4c0327ebcac3290652c182927a72a
https://hdl.handle.net/11368/3004467
https://hdl.handle.net/11368/3004467
Autor:
Fabrício Lopes Sanchez
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Este trabalho apresenta um estudo comparativo entre diferentes famílias de transformada Wavelet aplicadas à análise cepstral de sinais digitais de fala humana, com o objetivo específico de determinar o período de pitch dos mesmos e, ao final, pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7f9c9312ad31361c0b540afaaf7e1b7
Autor:
P.C. Fantinato, Luciene Cavalcanti Rodrigues, L.S. Vieira, Shi-Huang Chen, Paulo Rogério Scalassara, Fabrício Lopes Sanchez, Leonardo Mendes Souza, B. Santos, João Paulo Lemos Escola, Carlos Dias Maciel, Rodrigo Capobianco Guido, José Carlos Pereira, S.B. Jonior
Publikováno v:
ISM
Nowadays, fractal analysis has been successfully applied to digital speech processing, particularly for word and phoneme segmentation, which represents one of the fundamental steps in automatic speech recognition systems. The practical use of fractal
Autor:
Lucimar Sasso Vieira, Shi-Huang Chen, Sylvio Barbon Junior, Rodrigo Capobianco Guido, Fabrício Lopes Sanchez
Publikováno v:
Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007).
Dynamic Time Warping (DTW) is a pattern matching approach that can be used for limited vocabulary speech recognition, which is based on a temporal alignment of the input signal with the template models. The main drawback of this method is its high co
Autor:
Fabrício Lopes Sanchez, Rodrigo Capobianco Guido, José Carlos Pereira, Lucimar Sasso Vieira, Paulo Rogério Scalassara, Carlos Dias Maciel, Arlindo Neto Montagnoli, Sylvio Barbon Junior, Everthon Silva Fonseca
This letter describes a novel algorithm that is based on autoregressive decomposition and pole tracking used to recognize two patterns of speech data: normal voice and disphonic voice caused by nodules. The presented method relates the poles and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9e963735cf6fbdd36786a755d8bb6db
https://hdl.handle.net/11368/3004518
https://hdl.handle.net/11368/3004518
Autor:
Rodrigo Capobianco Guido, L.S. Vieira, Lirio Onofre Baptista de Almeida, Jan Frans Willem Slaets, M. Bianchi, Adilson Gonzaga, Fabrício Lopes Sanchez
Publikováno v:
ISM
This paper describes a novel technique for audio coding, a lossy compression algorithm, that considers perceptual and rate-distortion criteria. It is based on matched finite impulse response (FIR) wavelet-packet-like filter banks, the filter coeffici