Carlos IV [Material gráfico]

Resumen: Descripción: retrato de tres cuartos de Carlos IV con el torso de frente y la cabeza hacia la izqda

RETRATO DEL EX.MO É ILL.MO S.OR D.N FRAI JOAQUIN COMPANY [Material gráfico] : Caballero Gran Cruz de la Rl. distinguida Orden de Carlos III Arzobispo antes de Zaragoza y después de Valencia

Resumen: Descripción: retrato de 3/4 en el interior de un óvalo. Viste indumentaria de arzobispo. En el ángulo izqdo., la mitra y báculo

D. Juan de Rivera [Material gráfico] : Obispo de Badajoz, Patriarca de Antioquia, Arzobispo y Virrey de Valencia...

Resumen: Descripción: retrato del Patriarca Ribera barbado, sedente, de tres cuartos de figura y ligeramente de perfil hacia la derecha. Viste muceta y capisayo. En mano derecha "Plano del Seminario de Corpus Christi"

[Retrato de Tomás Vicente Tosca] [Material gráfico]

Inscripción: "R. P. D. THOMAS VICENTIUS TOSCA CONG. ORAT. VAL. PRESB. Obiit 17 Apr. 1723. eta. sue. 71. Haec TOSCAE est facies, animum qui cernere vellet. Hos relegat libros, ingeniumque probet"

[Retrato de Juan Luis Vives] [Material gráfico]

Inscripción encabezando la estampa: "LVDOVICVS VIVES VALENTs"

D. Antonio de Ulloa [Material gráfico]

Resumen: Descripción: 3/4 de figura hacia la derecha. La mano derecha señalando

[Retrato de Jaime I] [Material gráfico]

Inscripción en el friso: "D. JAYME I.º DE ARAGON"

Pomona [Material gráfico] : di pampinoso umor tinta e stillante ...

Resumen: Descripción: busto

Excmo. Sr,. D. Vicente Lopez [Material gráfico] : primer pintor de Cámara de su S.M.C.

Inscripción: "Propiedad de la Calcografía Nacional"

Felipe IV. Rey de España [Material gráfico]

Resumen: Descripción: retrato ecuestre de Felipe IV

Istoria della conuersione alla nostra santa fede dell'Isole Mariane, dette prima de'Ladroni, nella vita, predicatione, e morte gloriosa per Christo del venerable P. Diego Luigi di Sanuitores, e d'altri suoi compagni della Compagnia di Giesù /

Mode of access: Internet.

Pomeraneidum Iohannis Seccervitii libri quinque : quorum priores ... heroico, posteriores duo carmine elegiaco conscripti sunt : index materiarum, in singulis libris, sub finem operis est adiectus.

Mode of access: Internet.

Factor analysis based VTS and JUD noise estimation and compensation

Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estimating the noise models used for model adaptation. This paper examines the use of EM-based schemes for both canonical models and noise estimation, including discriminative adaptive training. One issue that arises when estimating the noise model is a mismatch between the noise estimation approximation and final model compensation scheme. This paper proposes FA-style compensation where this mismatch is eliminated, though at the expense of a sensitivity to the initial noise estimates. EM-based discriminative adaptive training is evaluated on in-car and Aurora4 tasks. FA-style compensation is then evaluated in an incremental mode on the in-car task. © 2011 IEEE.

Factor analysis based VTS discriminative adaptive training

Vector Taylor Series (VTS) model based compensation is a powerful approach for noise robust speech recognition. An important extension to this approach is VTS adaptive training (VAT), which allows canonical models to be estimated on diverse noise-degraded training data. These canonical model can be estimated using EM-based approaches, allowing simple extensions to discriminative VAT (DVAT). However to ensure a diagonal corrupted speech covariance matrix the Jacobian (loading matrix) relating the noise and clean speech is diagonalised. In this work an approach for yielding optimal diagonal loading matrices based on minimising the expected KL-divergence between the diagonal loading matrix and "correct" distributions is proposed. The performance of DVAT using the standard and optimal diagonalisation was evaluated on both in-car collected data and the Aurora4 task. © 2012 IEEE.