958 resultados para Quebec song
Resumo:
Ce mémoire porte sur l’œuvre chantée de Michel Latraverse, dit Plume. Nous y définissons le projet esthétique de cet auteur-compositeur-interprète en nous questionnant sur l’auditeur anticipé dans ses chansons. D’une part, nous constatons que Latraverse mise sur une forme d’hybridité quand il se définit en tant qu’artiste. L’hétérogénéité de ses influences lui permet d’explorer un grand nombre de styles musicaux et d’aborder une multitude de sujets. Dans ses textes, il cherche le beau à travers la simplicité et la bassesse du quotidien. Cependant, il tend malgré tout à exposer la laideur du monde en développant un réflexe d’exclusion qui n’épargne personne, brisant par le fait même toutes les solidarités. D’autre part, à l’aide des théories de la lecture, nous montrons que Latraverse, en puisant à la fois aux cultures savante et populaire, et malgré ses réflexes d’exclusion, rend possible un rapprochement entre des lecteurs aux compétences parfois très inégales. À la fin, nous concluons que Plume Latraverse opère un rabaissement systématique de l’humain afin d’en ramener l’existence à sa plus simple expression, physique et corporelle. C’est ainsi qu’il crée une communauté du bas où chacun a sa place et au sein de laquelle l’exclusion n’est plus possible.
Resumo:
Using information and communication technology devices in public urban places can help to create a personalised space. Looking at a mobile phone screen or listening to music on an MP3 player is a common practice avoiding direct contact with others e.g. whilst using public transport. However, such devices can also be utilised to explore how to build new meaningful connections with the urban space and the collocated people within. We present findings of work-in-progress on Capital Music, a mobile application enabling urban dwellers to listen to music songs as usual, but also allowing them to announce song titles and discover songs currently being listened to by other people in the vicinity. We study the ways that this tool can change or even enhance people’s experience of public urban spaces. Our first user study also found changes in choosing different songs. Anonymous social interactions based on users’ music selection are implemented in the first iteration of the prototype that we studied.
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This paper presents Capital Music, a mobile application enabling real-time sharing of song choices with collocated urban dwellers. Due to the real-time, location-based peer-to-peer approach of the application, a user experience study was performed utilising the Wizard of Oz method. The study provides insight into how sharing non-privacy sensitive but personal data in an anonymous way can influence the user experience of people in public urban places. We discuss the findings in relation to how Capital Music influences the process of “cocooning” in public urban places, the practice of designing anonymous interactions between collocated strangers, and how the sharing of song choices can create a sense of commonality between anonymous users in the urban space. The outcomes of this study are relevant for future location-based social networking applications that aim to create interactions between collocated strangers.
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“Who are you? How do you define yourself, your identity?” With these words Allan Moore opens his exhaustive new work proposing a more comprehensive approach to the musicological analysis of popular song. The last three decades have seen a huge expansion of the anthology of the sociological and cultural meanings of pop, but Moore’s book is not another exploration of this field, although some of these ideas are incorporated in this work. Rather, he addresses the limitations of conventional musicology when dealing particularly with songs: “I address popular song rather than popular music. The defining feature of popular song lies in the interaction of everyday words and music… it is how they interact that produces significance in the experience of song”.
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Allyson Reynolds, for many years now, has been a keen student of nature. Nature’s forms have always been important to her work, but it would be wrong to see Reynolds as simply transcribing directly from the natural world. For this artist, nature and the natural world represents an elusive invitation and so Reynolds doesn’t so much paint from nature, although resemblance and imitation are clearly evident, as work to render visually and emotionally tangible this invitation. And for a viewer this is no small thing as the invitation is to become attuned and connect with nature as it exists in ourselves, that is to see as nature. Reynolds’ is inviting us as viewers to connect and participate with the nature of nature that is evident in ourselves through the act of perceiving. Reynolds’ work can do this because it is a work born of deep evocation. The sensibility from which it emerges or is transacted is poetic, intensely so, but more than that it works to make of viewing an act of poetry, through a celebration of seeing. Reynolds evocation is born of a deep feeling towards and contemplation of the natural world - it is as though the world lives in her and is now a seamless part of her creative vocabulary. In such personal work there is a profoundly felt and revealed sense of the intimate and like true intimacy it revels in both its dark and quiet, as well as its playful and light, aspects. What is special about Reynolds’ visual poetry is that it able to render this intimacy so accessible. It is an accessibility that is available for the viewer who is able to not only look but also surrender to that looking, accepting and working with the flow of thoughts and associations it occasions...
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Raven and Song Scope are two automated sound anal-ysis tools based on machine learning technique for en-vironmental monitoring. Many research works have been conducted upon them, however, no or rare explo-ration mentions about the performance and comparison between them. This paper investigates the comparisons from six aspects: theory, software interface, ease of use, detection targets, detection accuracy, and potential application. Through deep exploration one critical gap is identified that there is a lack of approach to detect both syllables and call structures, since Raven only aims to detect syllables while Song Scope targets call structures. Therefore, a Timed Probabilistic Automata (TPA) system is proposed which separates syllables first and clusters them into complex structures after.
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This work was commissioned by the Queensland Art Gallery to mark the fifth birthday of the Gallery of Modern Art. The brief was quite open, with the only directive to make the work complement the major exhibition "we miss you magic land!" by Perth artists, Pip & Pop (Tanya Schultz and Nicole Andrijevic). This musical work draws on a similarly otherworldly, childlike theme, influenced in part by the cinematic world of Gene Wilder's Willy Wonka.
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With its foregrounding of the political issue of the denial of Aboriginal Australian sovereignty by British invaders in its big budget, mainstream narrative, 'The Sapphires' (Wayne Blair 2012) is shown to be another example of a "fourth formation" (Starrs 2012) in Moore and Muecke's 1985 model. Blair's feel-good movie features an all-Aboriginal Australian troupe of singers, The Sapphires, who undertake a journey of self-discovery whereby they learn the importance of choosing the protest songs of black Soul over the white coloniser's "whining" Country and Western songs and this is historically contextualised with a discussion of Aboriginal Australians and popular radio. Furthermore, this paper argues the iconic 'Welcome to Country' is twice subverted to reinforce this theme, firstly in the Cummeragunja pub and secondly in war-torn Vietnam. Finally, the prediction is made that a "fifth formation", in which seeking recognition of Aboriginal Australian sovereignty is no longer the goal because it has become the ongoing reality, will soon be the project of Australian film-makers as they celebrate this long overdue societal shift.
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Human expert analyses are commonly used in bioacoustic studies and can potentially limit the reproducibility of these results. In this paper, a machine learning method is presented to statistically classify avian vocalizations. Automated approaches were applied to isolate bird songs from long field recordings, assess song similarities, and classify songs into distinct variants. Because no positive controls were available to assess the true classification of variants, multiple replicates of automatic classification of song variants were analyzed to investigate clustering uncertainty. The automatic classifications were more similar to the expert classifications than expected by chance. Application of these methods demonstrated the presence of discrete song variants in an island population of the New Zealand hihi (Notiomystis cincta). The geographic patterns of song variation were then revealed by integrating over classification replicates. Because this automated approach considers variation in song variant classification, it reduces potential human bias and facilitates the reproducibility of the results.
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Is it possible for Indigenous ways of knowing, which draw on earth song and storywork, to find a place within the academy? Indigenous peoples recognise that the earth has a song, which we can listen to as story. In return, we can sing our story to the world and of the world. In this paper, the authors explore their own stories and songs. They explain the ways that listening to the earth’s song and working with stories can inform their work in the academy – as teachers who support younglings to hear their voices and develop their own songs, and as the writers and tellers of curriculum. The authors ask whether it is possible for Indigenous academics to combine their academic work with Indigenous ways of knowing. They argue that, not only is the combination possible, it can be used to create a harmonious voice that will help them to reclaim their power as Indigenous academic women.
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XVIII IUFRO World Congress, Ljubljana 1986.
Changing resonator geometry to boost sound power decouples size and song frequency in a small insect
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Despite their small size, some insects, such as crickets, can produce high amplitude mating songs by rubbing their wings together. By exploiting structural resonance for sound radiation, crickets broadcast species-specific songs at a sharply tuned frequency. Such songs enhance the range of signal transmission, contain information about the signaler's quality, and allow mate choice. The production of pure tones requires elaborate structural mechanisms that control and sustain resonance at the species-specific frequency. Tree crickets differ sharply from this scheme. Although they use a resonant system to produce sound, tree crickets can produce high amplitude songs at different frequencies, varying by as much as an octave. Based on an investigation of the driving mechanism and the resonant system, using laser Doppler vibrometry and finite element modeling, we show that it is the distinctive geometry of the crickets' forewings (the resonant system) that is responsible for their capacity to vary frequency. The long, enlarged wings enable the production of high amplitude songs; however, as a mechanical consequence of the high aspect ratio, the resonant structures have multiple resonant modes that are similar in frequency. The drive produced by the singing apparatus cannot, therefore, be locked to a single frequency, and different resonant modes can easily be engaged, allowing individual males to vary the carrier frequency of their songs. Such flexibility in sound production, decoupling body size and song frequency, has important implications for conventional views of mate choice, and offers inspiration for the design of miniature, multifrequency, resonant acoustic radiators.
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The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the Web Ontology Language (OWL) implementation of the CIDOC Conceptual Reference Model. The OWL representation facilitates encoding and reasoning over a genre ontology, while the CIDOC model enables a representation of complex spatial containment and proximity relations among geographic regions. It is shown how complex queries of folk song metadata, relying on inference and not only retrieval, can be expressed in OWL and solved using a description logic reasoner.
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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)
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Acoustic communication in drosophilid flies is based on the production and perception of courtship songs, which facilitate mating. Despite decades of research on courtship songs and behavior in Drosophila, central auditory responses have remained uncharacterized. In this study, we report on intracellular recordings from central neurons that innervate the Drosophila antennal mechanosensory and motor center (AMMC), the first relay for auditory information in the fly brain. These neurons produce graded-potential (nonspiking) responses to sound; we compare recordings from AMMC neurons to extracellular recordings of the receptor neuron population [Johnston's organ neurons (JONs)]. We discover that, while steady-state response profiles for tonal and broadband stimuli are significantly transformed between the JON population in the antenna and AMMC neurons in the brain, transient responses to pulses present in natural stimuli (courtship song) are not. For pulse stimuli in particular, AMMC neurons simply low-pass filter the receptor population response, thus preserving low-frequency temporal features (such as the spacing of song pulses) for analysis by postsynaptic neurons. We also compare responses in two closely related Drosophila species, Drosophila melanogaster and Drosophila simulans, and find that pulse song responses are largely similar, despite differences in the spectral content of their songs. Our recordings inform how downstream circuits may read out behaviorally relevant information from central neurons in the AMMC.