Sigma-lognormal modeling of speech

Human movement studies and analyses have been fundamental in many scientific domains, ranging from neuroscience to education, pattern recognition to robotics, health care to sports, and beyond. Previous speech motor models were proposed to understand how speech movement is produced and how the resulting speech varies when some parameters are changed. However, the inverse approach, in which the muscular response parameters and the subject’s age are derived from real continuous speech, is not possible with such models. Instead, in the handwriting field, the kinematic theory of rapid human movements and its associated Sigma-lognormal model have been applied successfully to obtain the muscular response parameters. This work presents a speech kinematics-based model that can be used to study, analyze, and reconstruct complex speech kinematics in a simplified manner. A method based on the kinematic theory of rapid human movements and its associated Sigma-lognormal model are applied to describe and to parameterize the asymptotic impulse response of the neuromuscular networks involved in speech as a response to a neuromotor command. The method used to carry out transformations from formants to a movement observation is also presented. Experiments carried out with the (English) VTR-TIMIT database and the (German) Saarbrucken Voice Database, including people of different ages, with and without laryngeal pathologies, corroborate the link between the extracted parameters and aging, on the one hand, and the proportion between the first and second formants required in applying the kinematic theory of rapid human movements, on the other. The results should drive innovative developments in the modeling and understanding of speech kinematics

Inner-Hair Cells Parameterized-Hardware Implementation for Personalized Auditory Nerve Stimulation

In this paper the hardware implementation of an inner hair cell model is presented. Main features of the design are the use of Meddis’ transduction structure and the methodology for Design with Reusability. Which allows future migration to new hardware and design refinements for speech processing and custom-made hearing aid

El modelo integrador y de innovación docente del Grado en Veterinaria de Zaragoza: integración en équidos

Desde hace cuatro años se ha comenzado a impartir en la Universidad de Zaragoza el nuevo Grado en Veterinaria, de 300 créditos ECTS distribuidos en 5 cursos. En el diseño de este nuevo Plan de Estudios se ha tratado de dotar a la Titulación de un enfoque basado, fundamentalmente, en las competencias que la profesión exige y la sociedad necesita de un t itulado (graduado) en veterinaria. Tras una formación inicial básica el alumno llega al CUARTO CURSO del grado, en el que las materias se han organizado en asignaturas siguiendo una estructura totalmente novedosa para los estudios de veterinaria en España. Como consecuencia de esta nueva estructura desaparecen como tales muchas de las asignaturas tradicionales que han estado presentes como asignaturas propias (con denominaciones idénticas o similares) en la práctica totalidad de los planes de estudio de veterinaria españoles desde la década de los 70 del siglo pasado. Al cursar estas asignaturas, los alumnos de esos planes, estudiábamos las particularidades de las diferentes especies animales de interés veterinario desde el enfoque, inevitablemente compartimentalizado, de esas asignaturas

On the origins of American Criollo pigs: A common genetic background with a lasting Iberian signature

American Criollo pigs are thought to descend mainly from those imported from the Iberian Peninsula starting in the late 15th century. Criollo pigs subsequently expanded throughout the Americas, adapting to very diverse environments, and possibly receiving influences from other origins. With the intensification of agriculture in the mid-20th century, cosmopolitan breeds largely replaced Criollo pigs, and the few remaining are mostly maintained by rural communities in marginal areas where they still play an important socio-economic and cultural role. In this study, we used 24 microsatellite markers in samples from 1715 pigs representing 46 breeds with worldwide distribution, including 17 American Criollo breeds, with the major focus of investigating their genetic diversity, structure and breed relationships. We also included representatives of the Iberian, Local British, Hungarian, Chinese and Commercial breeds, as well as Wild Boar, in order to investigate their possible influence in the genetic composition of Criollos. Our results show that, when compared with the other breeds, Criollo pigs present higher levels of genetic diversity, both in terms of allelic diversity and expected heterozygosity. The various analyses indicate that breed differentiation overall explains nearly 21% of the total genetic diversity. Criollo breeds showed their own identity and shared a common genetic background, tending to cluster together in various analyses, even though they differ from each other. A close relationship of Criollos with Iberian breeds was revealed by all the different analyses, and the contribution of Iberian breeds, particularly of the Celtic breeds, is still present in various Criollo breeds. No influence of Chinese breeds was detected on Criollos, but a few were influenced by Commercial breeds or by wild pigs. Our results confirm the uniqueness of American Criollo pigs and the role that Iberian breeds have played in their development. © 2021 Revidatti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Desarrollo de una aplicación informática para aprender clínica y producción equina jugando al Trivial

Introducción/objetivos: esta iniciativa surge de la puesta en común de experiencias docentes en las I Jornadas de Innovación Docente en Medicina y Cirugía Animal (Córdoba, 2011). Allí se presentaron algunas actividades que utilizan el éxito de metodologías basadas en concursos y competiciones, que consiguen que los alumnos las adopten fácilmente como métodos de aprendizaje.La actividad propuesta se basa en el popular juego TRIVIAL™ en el que equipos de alumnos contestan cuestiones de una batería de preguntas sobre veterinaria equina. Las preguntas están agrupadas por sistemas/especialidades.Se persigue crear un sistema de aprendizaje y autoevaluación formativa, que permita la evaluación de conocimientos adaptados al nivel de los alumnos de S~ del Grado en Veterinaria. Además de autoevaluar sus propios conocimientos sin la presión de un examen formal, el alumno practica la dinámica de grupo. La competitividad generada entre equipos estimula el trabajo individual y de grupo (...

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications

Computational approaches to explainable artificial intelligence: Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.MCIU - Nvidia(UMA18-FEDERJA-084