39 resultados para Pop music

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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La subtitulació de cançons és un camp força inexplorat en el món de la traducció audiovisual. En aquest treball de recerca proposo un estudi més exhaustiu sobre la traducció de cançons, especialment pel que fa a la subtitulació, tot posant com a exemple una part de la producció discogràfica i cinematogràfica d’una de les icones internacionals de la música pop actual: Madonna. El treball està dividit en un primer capítol teòric sobre l’estat de la qüestió en relació a la subtitulació de cançons, un segon capítol amb els resultats d’una enquesta sobre la recepció de Madonna, un tercer capítol d’anàlisi del corpus escollit (els documentals musicals subtitulats In bed with Madonna i I’m going to tell you a secret i onze videoclips musicals de Madonna), i un quart i últim capítol de conclusions finals. L’objectiu principal del treball de recerca és determinar la importància de subtitular les cançons incloses als documentals musicals i, també, als videoclips musicals, gèneres audiovisuals en auge en l’actualitat. Song subtitling is a largely unexplored field in audiovisual translation. In this research paper I carry out a more exhaustive analysis on song translation, specially on subtitling, taking as an example a part of the music and film production of one of the most international icons of pop music nowadays: Madonna. The paper is divided into: a first chapter on the state of the art on song subtitling, a second chapter including the results of a survey about the reception of Madonna, a third chapter analysing the corpus (music documentaries In Bed With Madonna and I’m Going to Tell You a Secret and eleven Madonna music videos), and a fourth chapter with concluding remarks. The main object of this research is to determine the importance of subtitling the songs included in music documentaries and music videos, both currently flourishing genres.

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Aquest projecte final explica algunes tècniques de producció relacionades amb la música electrònica, que també són aplicables a la música pop en general. Es descriuen els processos realitzats en dues parts, que parteixen de la producció de dos singles, Stars i Never mind. En la descripció del primer single s'hi expliquen tots els processos relacionats amb la coproducció i mescla d'una cançó de música electrònica, explorant-ne les possibilitats tant a nivell tècnic com artístic. El segon single, de composició pròpia i dut a terme majoritàriament a l'estudi de gravació, comprèn processos compositius a partir d'instruments virtuals i la seva posterior re-interpretació amb instruments acústics en diferents sessions de gravació, així com les tècniques utilitzades per la seva postproducció. L'objectiu principal ha estat aprendre a definir un so propi com a productor a partir de la combinació d'elements acústics i electrònics, i també repassar algunes tècniques de producció apreses durant la meva estada a l'ESMUC. La feina com a sonòleg i compositor queda documentada amb la descripció de tots aquests processos, deixant-ne constància per a futurs treballs.

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Report for the scientific sojourn at the Stanford University from January until June 2007. Music is well known for affecting human emotional states, yet the relationship between specific musical parameters and emotional responses is still not clear. With the advent of new human-computer interaction (HCI) technologies, it is now possible to derive emotion-related information from physiological data and use it as an input to interactive music systems. Providing such implicit musical HCI will be highly relevant for a number of applications including music therapy, diagnosis, nteractive gaming, and physiologically-based musical instruments. A key question in such physiology-based compositions is how sound synthesis parameters can be mapped to emotional states of valence and arousal. We used both verbal and heart rate responses to evaluate the affective power of five musical parameters. Our results show that a significant correlation exists between heart rate and the subjective evaluation of well-defined musical parameters. Brightness and loudness showed to be arousing parameters on subjective scale while harmonicity and even partial attenuation factor resulted in heart rate changes typically associated to valence. This demonstrates that a rational approach to designing emotion-driven music systems for our public installations and music therapy applications is possible.

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Del jingle a la música pop: una aporximació a l’us de la música en la publicitat és un treball de fi de carrera en el que s’exposa la evolució que ha patit la cançó publicitària. En una primera part s’expliquen el diferents tipus de música que existeixen, en la segona la història de la música a la publicitat espanyola i conclou amb un Top-10 de les millors cançons dels anuncis.

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L'evolució ens els últims decennis de les possibilitats relacionades amb les tecnologies de la informació han provocat l'aparició de diferents camps, entre ells l'anomenat “recuperació de música basant-se en el contingut”, que tracta de calcular la similitud entre diferents sons. En aquest projecte hem fet una recerca sobre els diferents mètodes que existeixen avui en dia, i posteriorment n'hem comparat tres, un basat en característiques del so, un basat en la transformada discreta del cosinus, i un que combina els dos anteriors. Els resultats han mostrat, que el basat en la transformada de Fourier és el més fiable.

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El treball final de carrera El pop i el rock com a productes de gran consum: els Beatles com a marca, té l’objectiu de demostrar la dimensió del màrketing en el cas dels Beatles. Primerament exposa la evolució dels gèneres musicals i dels compositors i grups més influents de la música pop i rock. Seguidament una breu contextualització dels Beatles, per posteriorment abordar l’objectiu principal del projecte, el qual pretén demostrar que el conjunt de Liverpool va ser una gran marca nascuda de la barreja d’estils musicals i del consumisme.

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Report for the scientific sojourn at the University of Bern, Swiss, from Mars until June 2008. Writer identification consists in determining the writer of a piece of handwriting from a set of writers. Even though an important amount of compositions contains handwritten text in the music scores, the aim of the work is to use only music notation to determine the author. It’s been developed two approaches for writer identification in old handwritten music scores. The methods proposed extract features from every music line, and also features from a texture image of music symbols. First of all, the music sheet is first preprocessed for obtaining a binarized music score without the staff lines. The classification is performed using a k-NN classifier based on Euclidean distance. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving encouraging identification rates.

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La present recerca pretén fer una aproximació qualitativa per conèixer alguns dels joves-adults i dels protagonistes de l’entorn que conformen el que en alguns espais mediàtics no especialitzats s’ha etiquetat com la nova escena catalana, per referir-se sobretot a autors i grups de música indi i pop feta a Catalunya, amb totes les variants del pop (des del més electrònic fins al més folk) i amb totes les múltiples accepcions de l’indi (al qual es dedica més endavant un capítol específic)

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Projecte que presenta la implementació per a dispositius Android del joc 'Simon says'.

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Intuitively, music has both predictable and unpredictable components. In this work we assess this qualitative statement in a quantitative way using common time series models fitted to state-of-the-art music descriptors. These descriptors cover different musical facets and are extracted from a large collection of real audio recordings comprising a variety of musical genres. Our findings show that music descriptor time series exhibit a certain predictability not only for short time intervals, but also for mid-term and relatively long intervals. This fact is observed independently of the descriptor, musical facet and time series model we consider. Moreover, we show that our findings are not only of theoretical relevance but can also have practical impact. To this end we demonstrate that music predictability at relatively long time intervals can be exploited in a real-world application, namely the automatic identification of cover songs (i.e. different renditions or versions of the same musical piece). Importantly, this prediction strategy yields a parameter-free approach for cover song identification that is substantially faster, allows for reduced computational storage and still maintains highly competitive accuracies when compared to state-of-the-art systems.

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In this paper we propose a new approach for tonic identification in Indian art music and present a proposal for acomplete iterative system for the same. Our method splits the task of tonic pitch identification into two stages. In the first stage, which is applicable to both vocal and instrumental music, we perform a multi-pitch analysis of the audio signal to identify the tonic pitch-class. Multi-pitch analysisallows us to take advantage of the drone sound, which constantlyreinforces the tonic. In the second stage we estimate the octave in which the tonic of the singer lies and is thusneeded only for the vocal performances. We analyse the predominant melody sung by the lead performer in order to establish the tonic octave. Both stages are individually evaluated on a sizable music collection and are shown toobtain a good accuracy. We also discuss the types of errors made by the method.Further, we present a proposal for a system that aims to incrementally utilize all the available data, both audio and metadata in order to identify the tonic pitch. It produces a tonic estimate and a confidence value, and is iterative in nature. At each iteration, more data is fed into the systemuntil the confidence value for the identified tonic is above a defined threshold. Rather than obtain high overall accuracy for our complete database, ultimately our goal is to develop a system which obtains very high accuracy on a subset of the database with maximum confidence.

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A Carnatic music concert is made up of a sequence of pieces, where each piece corresponds to a particular genre and ra¯aga (melody). Unlike a western music concert, the artist may be applauded intra-performance inter-performance. Most Carnatic music that is archived today correspond to a single audio recordings of entire concerts.The purpose of this paper is to segment single audio recordings into a sequence of pieces using thecharacteristic features of applause and music. Spectral flux, spectral entropy change quite significantly from music to applause and vice-versa. The characteristics of these features for a subset of concerts was studied. A threshold based approach was used to segment the pieces into music fragments and applauses. Preliminary resultson recordings 19 concerts from matched microphones show that the EER is about 17% for a resolution of 0.25 seconds. Further, a parameter called CUSUM is estimatedfor the applause regions. The CUSUM values determine the strength of the applause. The CUSUM is used to characterise the highlights of a concert.

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In this paper a method for extracting semantic informationfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network analysis. The method starts by defining a dictionary of common music terms in an art music tradition. Then, it creates a complex network representation of the online forum by matchingsuch dictionary against the forum posts. Once the complex network is built we can study different network measures, including node relevance, node co-occurrence andterm relations via semantically connecting words. Moreover, we can detect communities of concepts inside the forum posts. The rationale is that some music terms are more related to each other than to other terms. All in all, this methodology allows us to obtain meaningful and relevantinformation from forum discussions.

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In the context of the CompMusic project we are developing methods to automatically describe/annotate audio music recordings pertaining to various music cultures. As away to demonstrate the usefulness of the methods we are also developing a system to browse and interact with specific audio collections. The system is an online web application that interfaces with all the data gathered (audio, scores plus contextual information) and all the descriptions that are automatically generated with the developed methods. In this paper we present the basic architecture of the proposed system, the types of data sources that it includes,and we mention some of the culture specific issues that we are working on for its development. The system is in a preliminary stage but it shows the potential that MIR technologies can have in browsing and interacting with musiccollections of various cultures.

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The current research in Music Information Retrieval (MIR) is showing the potential that the Information Technologies can have in music related applications. Amajor research challenge in that direction is how to automaticallydescribe/annotate audio recordings and how to use the resulting descriptions to discover and appreciate music in new ways. But music is a complex phenomenonand the description of an audio recording has to deal with this complexity. For example, each musicculture has specificities and emphasizes different musicaland communication aspects, thus the musical recordings of each culture should be described differently. At the same time these cultural specificities give us the opportunity to pay attention to musical concepts andfacets that, despite being present in most world musics, are not easily noticed by listeners. In this paper we present some of the work done in the CompMusic project, including ideas and specific examples on how to take advantage of the cultural specificities of differentmusical repertoires. We will use examples from the art music traditions of India, Turkey and China.