Introducción al Análisis de Audio y Música en las Aulas

Memoria ID-121. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2020-2021

Etno-music: plataforma para la generación colaborativa basada en el análisis musical de la música popular modal en Castilla y León

[ES]El proceso de generación musical con inteligencia artificial resulta de un gran interés desde el punto de vista social, debido a la subjetividad de los resultados musicales, y al dinamismo del contexto. Esta tesis plantea la generación y el análisis musical de una parte del repertorio de la canción popular española. Se realizará una búsqueda, clasificación y análisis de diferentes fuentes sobre música española de tradición oral, en los que la etnomusicología se hace esencial para la consecución de los objetivos. Con los materiales recogidos, se generará una plataforma que permitirá, por un lado, la recolección ordenada y etiquetada del material obtenido y, por otro, aplicar técnicas informáticas para la extracción y análisis de conocimiento. A partir de este contenido, se diseñará una plataforma de colaboración entre hombre y máquina, y de aprendizaje para aquellos interesados en la generación de música popular de tipo melódico en diferentes modos

Sociedades Humano-Agente: Un Caso de Estudio en Creatividad Musical

[ES] Hoy en día, el interés por la creatividad computacional va en aumento en la comunidad científica. Aunque este interés es reciente, hay una gran cantidad de algoritmos, esquemas y procedimientos para desarrollar una máquina tan inteligente, capaz de crear nuevas ideas o nuevas composiciones artísticas

User-Guided System to Generate Spanish Popular Music

[EN]The automatic generation of music is an emerging field of research that has attracted wide attention in Computer Science. Additionally, the interaction between users and machines is nowadays very present in our daily lives, and influences fields such as Economy, Sports or Arts. Following this approach, this work develops an intelligent system that generates melodies based on Spanish popular music and some indications of the users through an interface. The system creates a melody by learning from the corpus selected through a Markov model, which is also influenced by the users’ preferences. Several experiments were carried out to evaluate the musical quality and the usefulness of the system to interact with the user and generate music. The results of the evaluation shows that the proposal is able to generate music adapted to the style standards of Spanish popular music and to the users’ indications

Food as Culture among African Women: Exploring Differences between North and South (Morocco-Senegal)

The goal of this exploratory study was to analyze the influence of culture on African women’s diet considering their role as primary caregivers. The analysis differentiated between Moroccan and Senegalese women and identified the key elements that influence their dietary habits and their health. Using a qualitative methodology, we performed a triangulation of data based on a literature review and a panel of experts, all of which served as the basis for the interview script to conduct 14 semi-structured interviews (n = 7 Moroccan and n = 7 Senegalese). This study reflects the substantial relationship between dietary habits, cultural identity, and health that healthcare providers need to acknowledge. It is important for healthcare practitioners to be culturally competent in order to provide holistic and individualized car

Sensoring a Generative System to Create User-Controlled Melodies

[EN] The automatic generation of music is an emergent field of research that has attracted the attention of countless researchers. As a result, there is a broad spectrum of state of the art research in this field. Many systems have been designed to facilitate collaboration between humans and machines in the generation of valuable music. This research proposes an intelligent system that generates melodies under the supervision of a user, who guides the process through a mechanical device. The mechanical device is able to capture the movements of the user and translate them into a melody. The system is based on a Case-Based Reasoning (CBR) architecture, enabling it to learn from previous compositions and to improve its performance over time. The user uses a device that allows them to adapt the composition to their preferences by adjusting the pace of a melody to a specific context or generating more serious or acute notes. Additionally, the device can automatically resist some of the user’s movements, this way the user learns how they can create a good melody. Several experiments were conducted to analyze the quality of the system and the melodies it generates. According to the users’ validation, the proposed system can generate music that follows a concrete style. Most of them also believed that the partial control of the device was essential for the quality of the generated music

An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization

[EN] Devices in a smart home should be connected in an optimal way; this helps save energy and money. Among numerous optimization models that can be found in the literature, we would like to highlight artificial immune systems, which use special bioinspired algorithms to solve optimization problems effectively. The aim of this work is to present the application of an artificial immune system in the context of different energy optimization problems. Likewise, a case study is performed in which an artificial immune system is incorporated in order to solve an energy management problem in a domestic environment. A thorough analysis of the different strategies is carried out to demonstrate the ability of an artificial immune system to find a successful optima which satisfies the problem constraints

Searching for the Transcriptomic Signature of Immune Tolerance Induction—Biomarkers of Safety and Functionality for Tolerogenic Dendritic Cells and Regulatory Macrophages

The last years have witnessed a breakthrough in the development of cell-based tolerance-inducing cell therapies for the treatment of autoimmune diseases and solid-organ transplantation. Indeed, the use of tolerogenic dendritic cells (tolDC) and regulatory macrophages (Mreg) is currently being tested in Phase I and Phase II clinical trials worldwide, with the aim of finding an effective therapy able to abrogate the inflammatory processes causing these pathologies without compromising the protective immunity of the patients. However, there exists a wide variety of different protocols to generate human tolDC and Mreg and, consequently, the characteristics of each product are heterogeneous. For this reason, the identification of biomarkers able to define their functionality (tolerogenicity) is of great relevance, on the one hand, to guarantee the safety of tolDC and Mreg before administration and, on the other hand, to compare the results between different cell products and laboratories. In this article, we perform an exhaustive review of protocols generating human tolDC and Mreg in the literature, aiming to elucidate if there are any common transcriptomic signature or potential biomarkers of tolerogenicity among the different approaches. However, and although several effectors seem to be induced in common in some of the most reported protocols to generate both tolDC or Mreg, the transcriptomic profile of these cellular products strongly varies depending on the approach used to generate them

Jazz Music in the Educational Institution: A Journey of Translation from the Periphery to the Heart of the Canon of Cultured Music in the West

This paper aims to conform a theoretical approach around the process of insertion and translation of jazz music into the canon of cultured western music, monopolized in a paradigmatic way by European classical music. Starting from a theoretical substratum formed in relation to polysystem theory, postulated by the Israeli researcher Itamar Even-Zohar, the synergies, conjunctures and conditioning factors underlying a movement of translation that has led to the change of consideration of a musical genre such as jazz, from a conception as marginal and minority music, associated with a specific socio-cultural context, to its recognition as one of the most avant-garde, refined and valued artistic expressions of Western culture are analysed.El presente artículo pretende constituirse como una aproximación teórica en torno al proceso de inserción y traslación de la música de jazz en el canon de la música culta en Occidente, monopolizado de manera paradigmática por la música clásica europea. Partiendo de un sustrato teórico conformado en relación a la teoría de los polisistemas, postulada por el investigador Israelí Itamar Even-Zohar, se analizan las sinergias, coyunturas y condicionantes que subyacen a un movimiento de traslación que ha propiciado el cambio de consideración de un género musical como el jazz, desde una concepción como música marginal y minoritaria, asociada a un contexto sociocultural concreto, hasta su reconocimiento como una de las expresiones artísticas más vanguardistas, refinadas y valoradas de la cultura occidental

MUSIC-MAS: Modelling a Harmonic Composition System with Virtual Organizations to Assist Novice Composers

Many music students today experience difficulties in composing melodies without a prior harmonical guide. While harmony can be helpful in creating a melody the generation of harmony is challenging due to the many factors that must be taken into account, such as style, harmonic functions, musical consonance or aesthetics. Although various solutions have been proposed in the past, our study employs a different expert solution based on virtual organizations to make musical harmonies, which can assist novice improvisers and/or composers. The virtual organizations are implemented with Multi-Agent System (MAS) using PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents), a platform to develop different multiagent systems. The main goal is to simulate an expert multiagent system that can compose harmony following specific rules. To do so, the Harmony Search Algorithm is implemented as the main behavior of the composer agent, and adapted to a Belief-Desire-Intention architecture. The application of a VO has not been previously used in the development of this kind of expert system in music. We measured the quality of the music obtained, by minimizing a mathematical function. Additionally, we developed an evaluation test that positively validates the musical results from the perspective of consonance and usefulness of the composers