Avec l'explosion des données numériques disponibles (notamment via Internet), la question de l'accès aux documents reçoit depuis quelques années une attention accrue. En effet, l'indexation des documents, traditionnellement fondée sur la description textuelle, atteint rapidement ses limites en particulier lorsque le contenu concerné est musical. <br /><br />Cette thèse focalise sur la recherche de documents musicaux par chantonnement. Nous présentons un système qui permet de retrouver une musique à partir d'un extrait chanté par l'utilisateur. Sa réalisation a nécessité deux études préalables qui ont comblé quelques lacunes d'un domaine de recherche encore jeune. Nous nous sommes intéressés, d'une part, à la "justesse" des mélodies chantonnées (par l'étude de 500 requêtes), et d'autre part, à certains aspects de la similarité mélodique (par la réalisation de tests subjectifs).<br /><br />Grâce à ces études, nous proposons un système de recherche original et performant. Refusant une description tempérée de la requête (i.e. comportant une quantification des notes au demi-ton), le système proposé retrouve plus de 90% des documents musicaux attendus, pour une taille de requête moyenne (13 notes). La base de données consultée est constituée de 20.000 fichiers MIDI (40 millions de notes indexées). Le temps d'attente est acceptable puisqu'il ne faut que quelques secondes au système pour fournir sa réponse (i.e. la liste des documents les plus similaires à la requête, ceux-ci étant classés par ordre de similarité).<br /><br />Cette thèse apporte également une aide dans le processus d'évaluation de la qualité de tels systèmes. En effet, nous proposons une modélisation de l'imprécision des mélodies chantonnées. Celle-ci permet la génération de requêtes artificielles qui peuvent être substituées aux requêtes réelles lors du test de systèmes. Cette alternative permet d'alléger le processus de test tout en conservant une stimulation réaliste.

目前大部分的聽眾主要是透過歌詞與樂曲的搭配來了解音樂所要表達的內容，因此歌詞創作在目前的音樂工業是很重要的一環。一般流行音樂創作是由作曲人與作詞人共同完成，然而有另一種方式是將既有的詩詞做為歌詞，接著重新譜曲的方式產生新的流行音樂。這種創作方式是讓舊有的詞或曲注入新的生命力，得以流傳到現在。因此本研究希望可以為一首旋律推薦適合配唱的歌詞，以對數位音樂達到舊曲新詞的加值應用。本論文包括兩個部分，分別為：(1)自動分析歌詞的詞式，找出每個段落的位置與其段落的標籤；(2)詞曲結構搭配，找出相符合結構的詞與曲，並且同步每個漢字與音符。 本論文的第一部分為詞式分析，首先將歌詞擷取四個面向的特徵值，分別為(1)句字數結構；(2)拼音結構；(3)詞性；(4)聲調音高。第二步驟，利用這四種特徵值分別建立詞行的自相似度矩陣(Self Similarity Matrix)，並且利用這四個特徵的自相似度矩陣產生一個線性組合自相似度矩陣。第三步驟，建立在自相似度矩陣上我們做段落分群以及家族(Family)組合找出最佳的分段方式，最後將找出的分段方式利用我們整理出來的規則讓電腦自動標記段落標籤。第二部分為詞曲結構搭配，首先我們將主旋律的樂句以及歌詞的詞句做第一層粗略的對應，第二步驟，將對應好的樂句與詞句做第二層漢字與音符細部的對應，最後整合兩層對應的成本當做詞曲搭配的分數。 我們以KKBOX音樂網站當做歌詞來源，並且請專家標記華語流行歌詞資料庫的詞式。實驗顯示詞式分析的Pairwise f-score準確率達到0.83，標籤回復準確率達到0.78。詞曲結構搭配中，查詢的歌曲其原本搭配的歌詞，推薦排名皆為第一名。 / Nowadays, lots of pop music audiences understand the content of music via lyrics and melody collocation. In general, a Chinese pop music is produced by composer and lyricist cooperatively. However, another producing manner is composing new melody with ancient poetry. Therefore, we want to recommend present lyrics for a melody and then achieving value-added application for digital music. This thesis includes two subjects. The first subject is lyrics form analysis. This subject is finding the block of verse, chorus, etc., in lyrics. The second subject is structure alignment between lyrics and melody. We utilize the result of lyrics form analysis and then employ a 2-tier alignment to recommend present lyrics which is suitable for singing. In lyrics form analysis, the first step, we investigate four types of feature from lyrics: (1) Word Count Structure; (2) Pinyin Structure; (3) Part of Speech Structure; (4) Word Tone Pitch. For the second step, we utilize these four types of feature to construct a SSM(Self Similarity Matrix), and blend these four types of SSM to produce a linear combination SSM. The third step is clustering blocks and finding the best Family combination based on SSM. Finally, a rule-based technique is employed to label blocks of lyrics. For the second subject, the first step is aligning music phrases and lyrics sentences roughly. The second step is aligning a word and a note for corresponding phrase and sentence. Finally, we integrated the cost of two-level alignment regarded as the lyrics and melody collocation score. We collect lyrics from KKBOX, a music web site, and invite experts label ground truth of lyrics form. The experimental result of lyrics form analysis shows that the proposed method achieves the Pairwise f-score of 0.83, and the Label Recovering Ratio of 0.78. The experiment of structure alignment between lyrics and melody shows that the original lyrics of query melodies are ranked number one.

We investigated age-related differences in neural activation associated with recognition of familiar melodies, a process that requires retrieval from musical semantic memory and leads to a feeling of familiarity. We used sparse sampling fMRI to determine the neural correlates of melody processing and familiarity by comparing activation when listening to melodies versus signal-correlated noise, and to familiar versus unfamiliar melodies, respectively. Overall, activity in the bilateral superior temporal gyrus correlated well with melody processing. Familiarity was associated with several frontal regions (bilateral inferior frontal gyrus, superior frontal gyrus, and precentral gyrus; left insular cortex), right superior temporal gyrus; left supramarginal gyrus and cingulate gyrus; bilateral putamen and thalamus; cerebellum and brainstem. No significant differences were found between younger and older adults for either melody processing or familiarity based activation. Assessment of familiarity-related group differences using less stringent criteria identified plausible areas; greater activation was seen bilaterally in the superior temporal gyrus in younger adults and in some left parietal regions in older adults. This study adds to the knowledge of musical semantic memory with results based on a large sample (N = 40) that includes older adults. Our findings for activation associated with melody processing and familiarity support some, but not all, previous results of related studies. We were unable to find conclusive evidence of age-related differences in neural correlates of musical semantic memory, while also being the first study (to the best of our knowledge) to search for these differences. / Thesis (Master, Neuroscience Studies) -- Queen's University, 2013-09-16 12:38:10.757

Text in Afrikaans / Art History, Visual Arts and Musicology / D.Mus. (Musiekwetenskap)

La version intégrale de ce mémoire est disponible uniquement pour consultation individuelle à la Bibliothèque de musique de l’Université de Montréal (http://www.bib.umontreal.ca/MU). / Ce mémoire propose une analyse des dimensions formelle et mélodique du Quatuor à cordes no 2 (1928) du compositeur tchèque Leoš Janáček (1854-1928). Ces paramètres et leurs liens mutuels sont étudiés au moyen de la notion de « personnage musical », qui s’inspire du concept de «personnage rythmique» d’Olivier Messiaen. L’analyse de l’organisation mélodique dans l’ensemble du quatuor permet ainsi de démontrer comment des phrases mélodiques fortement caractérisées (les personnages musicaux) sont réitérées et articulées principalement par la juxtaposition à l’intérieur de chaque mouvement, donnant lieu à une forme originale et hautement répétitive. L’analyse paradigmatique de certaines sections formelles, ainsi que la mise en série de tous les personnages d’un même type, confirment l’importance de la répétition mélodique dans l’élaboration structurelle de l’œuvre. Par ailleurs, l’étude de la structure interne des personnages musicaux révèle que cette dernière résulte de la réitération de cellules mélodico-rythmiques. Ainsi, le même procédé de construction formelle par répétition et juxtaposition s’applique aussi bien au niveau de la succession des phrases mélodiques qu’à celui de leur structure interne. Les reprises des personnages musicaux s’élaborent comme le réaménagement de leurs cellules constitutives, donnant lieu à des structures mélodiques variées qui participent au renouvellement constant du discours musical, malgré son haut degré de répétitivité. / This thesis proposes an analysis of form and melody in Czech composer Leoš Janáček's (1854-1928) String Quarter No. 2 (1928). These parameters and their interconnectedness are studied using the notion of “musical character,” inspired by Olivier Messiaen's concept of “rhythmic character.” The analysis of the melodic organization within the entirety of the quartet allows us to demonstrate how strongly characterized melodic lines (the musical characters) are reiterated and predominantly articulated through juxtaposition within each movement, giving rise to an original and highly repetitive form. The paradigmatic analysis of certain formal sections, as well as the seriation of the same type of characters, confirms the importance of melodic repetition in the structural elaboration of a work. Furthermore, the study of the musical characters shows that their internal structure is itself based on the reiteration of melodico-rhythmic cells. Therefore, the same procedure of formal construction through repetition and juxtaposition applies just as well to the level of succession of melodic lines as to the construction of their internal structure. The recurrence of musical characters builds up like the rearrangement of their constituent cells, giving rise to varied melodic structures that take part in the constant renewal of the musical discourse, despite its high degree of repetitiveness.

Goal of this master thesis is to study harmonization based on knowledge of given melody and to design a system which will meaningfully automate this activity. In the work there is covered basics of music theory needed for this topic and previous other approaches to this problematic. There is also covered machine learning, neural networks and recurrent neural networks. In the end, there is outlined design of the system, how to make it work and how to use it. Three experiments were executed with the system. Harmonization of the melodies were unpleasant though. A possible cause might be relatively small used neural network of the system.

This Thesis is focused on the arranging of the melody, which is accompanied by jazz chords. It deals with creating a more harmonious voices using Block Voicing method. Distribution to target notes and passing notes is made using techniques of constraint programming (CSP). Passing notes are reharmonized by dominant seventh chord or by parallel chord. Using CSP a bass part is also created. To solve CSP is used Gecode library. The harmonious voices are arranged by Four Part Close Voicing. The application result is a tool for the music arranger.

Cette version du mémoire a été tronquée d'un élément protégé par le droit d'auteur, l'''Annexe 5a audio, K'viria de Riho''. Une version plus complète est disponible en ligne pour les membres de la communauté de l'Université de Montréal et peut aussi être consultée à la Bibliothèque de la Faculté de Musique de l'UdeM. / Ce mémoire porte sur la notion de fusion musicale à la multiplicité d'influences dans ma démarche en composition musicale. Je commencerai par définir le terme de fusion, les différents types de fusion musicale ainsi que leur relation à la tradition musicale d'un côté, et leur relation à une démarche contemporaine en composition musicale. Puis, j'analyserai quantité des styles et traditions qui forment la base de la littérature musicale dont je me sers dans la construction de mon langage personnel, autant du côté des démarches déjà existantes en fusion que du côtés des musiques relevant de traditions non-fusion. Celles qui m'ont le plus influencées sont la musique classique européenne et la musique classique du Moyen-Orient, puis, d'autres influences phares se trouvent dans les musiques classiques d'Inde, la musique vocale de Géorgie, la musique de gamelan Balinais, et dans le Hard Rock ainsi que le Rock Progressif. J'explorerai ensuite de manière plus concrète les modes musicaux, la mélodie et son enrichissement grâce à l'ornementation mélodique, et le rythme, dans lequel la métrique apparaît comme essentielle, et la polyrythmie comme toute aussi enrichissante. Ces trois paramètres – mode, mélodie et rythme - forment les trois grands piliers de mon langage musical. Je ferai des aller-retours entre l'apport des traditions, leur réinterprétation créative et l'expansion de leurs paramètres jusqu'à en dépasser les frontières, ce qui débouchera sur la possibilité et la volonté de la création d'un nouveau style musical en soi, qui dépasserait, peut-être, l'esthétique de la fusion. / This memoir discusses the concept of musical fusion with multiple influences in my compositional works. I will start by defining the term fusion, the different types of fusion as well as their relationship to musical tradition, on the one hand, and their relationship to a contemporary musical compositional endeavor. I will then analyse diverse musical styles and traditions that form the basis of the musical literature that I use in constructing my personal musical language, both in the branch of already existing fusion musics, and in the branch of non-fusion musics. The musics that most influenced me are european classical music and middle-eastern classical music, and then, other important ones include classical indian music, vocal georgian music, balinese gamelan music, Hard Rock and Progressive Rock. Afterwards I will explore in more concrete detail the musical modes, the melody and its complexification with the mechanisms of ornamentation, rhythm, within which time signatures appear to be an essential aspect, and polyrhythm to be it's important mechanism of complexification. These three parameters – mode, melody and rhythm – form the three great pillars of my musical language. I will go back-and-forth between the intakes from tradition, their creative reinterpretation and the expansion of their parameters, until we reach a point where we go beyond their frontier, at which point we will envision the possibility and the will to create a new musical style in itself, which, perhaps, goes beyond the esthetic of fusion.

DIPLOMA THESIS Leoš Janáček's Lachian Dances and their use in music education at primary school Eliška Mervartová ABSTRACT The diploma thesis deals with Leoš Janáček's Lachian Dances and their didactic application in music education. The theoretical part examines the Lachian Dances through the didactic analysis and describes the speech of composer and its connection with folk art. The practical part of the diploma thesis is focused on the didactic interpretation of the Lachian Dances. The pupils in the age of middle childhood, specifically 3rd and 4th graders at the Vrchlického primary school in Liberec, were selected as a sample. The results of the thesis are teaching materials that serves as a source of inspiration for students of primary education and current teachers of music education. KEYWORDS Leos Janacek, The Lachian Dances, speech melody theory, the didactic interpretation, the age of middle childhood, teaching materials, music education

Goal of this master thesis is to study harmonization based on knowledge of given melody and to design a system which will meaningfully automate this activity. In the work there is covered basics of music theory needed for this topic and previous other approaches to this problematic. There is also covered machine learning, neural networks and recurrent neural networks. In the end, there is outlined design of the system, how to make it work and how to use it. Four experiments were executed with the system. Harmonization of the short melodies were unpleasant. Harmonization of longer melodies were overall more successful though. A possible cause might be relatively small used neural network of the system.