A correct choice of voice signal modeling methods is essential to obtain good results in automatic speech recognition. In this paper, we have proposed a unified view of the speech parametrization stage, in which conventional techniques as Linear Prediction Coeficientes and mel-cepstrum filter bank are viewed as particular cases. The model incorporates a new technique of deconvolution, that is called root homomorphic deconvolution. A broad set of experimental results are also presentedPeer ReviewedPostprint (published version
Els Models Dynamics Lineals (LDM) han demostrat ser capaços de modelar la parla i aconseguir bons re...
Deep learning has affected the speech processing and generation fields in many directions. First, en...
Este trabalho envolve o emprego de recentes tecnologias ligadas a promissora área de Inteligência Co...
A correct choice of voice signal modeling methods is essential to obtain good results in automatic s...
Conventional modelling techniques of speech suffer a very big performance degradation in adverse noi...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
A correct choice of voice signal modeling method is essential to obtain good results in automatic sp...
Speech signal processing has always brought a lot of attention from the communication theory communi...
La prosodia sirve para denominar a determinadas magnitudes físicas que pueden ser medidas en las señ...
En este trabajo se realiza un estudio de los métodos más utilizados para la extracción de caracterís...
Desde el punto de vista biológico el proceso del habla puede separarse en dos etapas moduladas entre...
Speech dynamic feature are routinely used in current speech recognition systems in combination with ...
Las técnicas de conversión de locutor transforman la señal de voz pronunciada por una persona para q...
Se presenta en este trabajo una metodología para la caracterización de la señal de voz aplicada en e...
Presents a voice conversion system, a system that transforms a voice signal spoken by some speaker i...
Els Models Dynamics Lineals (LDM) han demostrat ser capaços de modelar la parla i aconseguir bons re...
Deep learning has affected the speech processing and generation fields in many directions. First, en...
Este trabalho envolve o emprego de recentes tecnologias ligadas a promissora área de Inteligência Co...
A correct choice of voice signal modeling methods is essential to obtain good results in automatic s...
Conventional modelling techniques of speech suffer a very big performance degradation in adverse noi...
Recently, a new parametrization technique based on the AR modelling of the one-sided autocorrelation...
A correct choice of voice signal modeling method is essential to obtain good results in automatic sp...
Speech signal processing has always brought a lot of attention from the communication theory communi...
La prosodia sirve para denominar a determinadas magnitudes físicas que pueden ser medidas en las señ...
En este trabajo se realiza un estudio de los métodos más utilizados para la extracción de caracterís...
Desde el punto de vista biológico el proceso del habla puede separarse en dos etapas moduladas entre...
Speech dynamic feature are routinely used in current speech recognition systems in combination with ...
Las técnicas de conversión de locutor transforman la señal de voz pronunciada por una persona para q...
Se presenta en este trabajo una metodología para la caracterización de la señal de voz aplicada en e...
Presents a voice conversion system, a system that transforms a voice signal spoken by some speaker i...
Els Models Dynamics Lineals (LDM) han demostrat ser capaços de modelar la parla i aconseguir bons re...
Deep learning has affected the speech processing and generation fields in many directions. First, en...
Este trabalho envolve o emprego de recentes tecnologias ligadas a promissora área de Inteligência Co...