678 resultados para Female voices


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Setting of Tennyson's The day-dream, the Prologue omitted.

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Includes index.

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Words also printed as text: p. [iii]-v.

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Resumen: El objetivo es determinar utilizando las mediciones acústicas, qué información es más relevante para el oyente al momento de categorizar el grado general de disfonía. Se eligieron 8 (4 voces femeninas y 4 voces masculinas. Cada emisión fue evaluada auditivo perceptualmente a través del item G de la escala GRBAS por 10 oyentes experimentados y acústicamente mediante medidas de aperiodicidad, ruido y caos. El estudio estadístico de análisis discriminante señala la importancia de GNE, Jit y Jitter_cc y Lyapunov como parámetros predictores del grado general de disfonía. La aplicación del método k-means evidencia que existen rasgos en los parámetros acústicos empleados que permiten agrupar objetivamente las voces estudiadas con 100% de precisión para la clase 0, 96% a la clase 2 y 79% a la clase 3. Un mayor número y variabilidad de casos se necesita a fin de verificar los resultados preliminares.

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Los Siete grados de Amor de la poetisa y mística flamenca Beatriz de Nazareth conforma, junto con la obra de sus dos contemporáneas Hadewijch de Amberes y Matilde de Magdeburgo, un coro de voces femeninas que destacan dentro de la teología monástica del siglo XIII, por haber sido escritas en lengua vernácula y haber adoptado de modo creativo las formas poéticas del amor cortés para expresar su experiencia de Dios. En continuidad con la tradición patrística despliega Beatriz la via amoris, centrando su discurso en el deseo de Dios. El objetivo de este trabajo es demostrar la actualidad de esta obra medieval premoderna en el horizonte de una posmodernidad en la que deseo y alteridad se cruzan. La original concepción caleidoscópica del amor que presenta este texto abre horizontes desde los cuales plantear hoy la pregunta por lo absoluto a partir de la experiencia y el lenguaje de los místicos.

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The German Fach system is a tool to classify voices in classical singing. This dissertation comprises three different programs that reflect my search for identity as a mezzo-soprano and my desire to transcend the limitations of Fach. The three programs, all presented at The Clarice Performing Arts Center, contain repertoire written for male and female voices thus allowing me to explore areas outside of the mezzo-soprano Fach, gain a better understanding of the Fach system and guide me as I strive to become a more mature performer. In my first program, I sang the role of Sesto, a role that was composed originally for a castrate, in the opera La Clemenza di Tito by W.A. Mozart. The Maryland Opera Studio production took place April 30, May 2,4&6,2003. Performing this gender-bending role provided an experience of physical behavior from the male view point along with the demands of coloratura singing. Program two (November 30,2004) contained the song cycle Dichterliebe by Robert Schumann and songs by Ludwig van Beethoven, Franz Schubert and Felix Mendelssohn, which are usually sung by male voices. This program experimented with extended range, tessitura and a gender-bending performance in the art song arena. 8 In program three (April 21 &23,2005), I sang the contralto role of Cornelia from Giulio Cesare in Egitto by George Frederic Handel. The role of Cornelia is psychologically complex, expressing emotions such as love, melancholy, rage, malice, joy and fear. To convey these emotions a voice needs warmth and darkness of quality. Although the range is close to that of the mezzo-soprano, Handel wrote Cornelia for contralto voice because he wanted a dark timbre and this role allowed me to develop my lower register and manage suitable ornamentations. The programs are documented in a digital format available on compact disc and are accompanied by the oral presentation at the defense of this dissertation.

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Margaret Atwood’s novella The Penelopiad (2005) seemingly celebrates Penelope’s agency in opposition to Homer’s myth in The Odyssey. However, the twelve murdered maids steal the book to suggest the possibility of what Janice Raymond calls gyn/affection, a female bonding based on the logic of emotion that, in Atwood’s revision, verges on Kristevan abjection, the sinister and the fantastic, and serves a cathartic effect not only in the maids but also in the reader. This essay aims to question the generally accepted empowerment of Atwood’s Penelope and celebrates the murdered maids as the locus of emotion, where marginal aspects of gender and class merge to weave a powerful metaphorical tapestry of popular and traditionally feminized literary genres that, in plunging into and embracing the semiotic realm, ultimately solidify into an eclectic but compact alternative tradition of women’s writing and myth-making.

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In the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.

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In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate.

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Digit speech recognition is important in many applications such as automatic data entry, PIN entry, voice dialing telephone, automated banking system, etc. This paper presents speaker independent speech recognition system for Malayalam digits. The system employs Mel frequency cepstrum coefficient (MFCC) as feature for signal processing and Hidden Markov model (HMM) for recognition. The system is trained with 21 male and female voices in the age group of 20 to 40 years and there was 98.5% word recognition accuracy (94.8% sentence recognition accuracy) on a test set of continuous digit recognition task.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)