Hungarian dances for violin and piano. [music] /

For violin and piano ; originally for piano, 4 hands.

11e Barcarolle pour le piano. [music] : op. 105 /

Cover title.

Nineteen sonatas for the piano. [music] : [English and Spanish] /

Mode of access: Internet.

Alte Meister des Klavierspiels; Klavier-Musik des 17. und 18. Jahrhunderts. Piano music of the 17th and 18th centuries

Mode of access: Internet.

French suites for the piano. [music] /

Mode of access: Internet.

Douze chants avec accompagnement de piano. [music] /

Songs originally copyrighted between 1904 and 1906.

Evolution of classifiers for pitch estimation of piano music using cartesian genetic programming

Pitch Estimation, also known as Fundamental Frequency (F0) estimation, has been a popular research topic for many years, and is still investigated nowadays. The goal of Pitch Estimation is to find the pitch or fundamental frequency of a digital recording of a speech or musical notes. It plays an important role, because it is the key to identify which notes are being played and at what time. Pitch Estimation of real instruments is a very hard task to address. Each instrument has its own physical characteristics, which reflects in different spectral characteristics. Furthermore, the recording conditions can vary from studio to studio and background noises must be considered. This dissertation presents a novel approach to the problem of Pitch Estimation, using Cartesian Genetic Programming (CGP).We take advantage of evolutionary algorithms, in particular CGP, to explore and evolve complex mathematical functions that act as classifiers. These classifiers are used to identify piano notes pitches in an audio signal. To help us with the codification of the problem, we built a highly flexible CGP Toolbox, generic enough to encode different kind of programs. The encoded evolutionary algorithm is the one known as 1 + , and we can choose the value for . The toolbox is very simple to use. Settings such as the mutation probability, number of runs and generations are configurable. The cartesian representation of CGP can take multiple forms and it is able to encode function parameters. It is prepared to handle with different type of fitness functions: minimization of f(x) and maximization of f(x) and has a useful system of callbacks. We trained 61 classifiers corresponding to 61 piano notes. A training set of audio signals was used for each of the classifiers: half were signals with the same pitch as the classifier (true positive signals) and the other half were signals with different pitches (true negative signals). F-measure was used for the fitness function. Signals with the same pitch of the classifier that were correctly identified by the classifier, count as a true positives. Signals with the same pitch of the classifier that were not correctly identified by the classifier, count as a false negatives. Signals with different pitch of the classifier that were not identified by the classifier, count as a true negatives. Signals with different pitch of the classifier that were identified by the classifier, count as a false positives. Our first approach was to evolve classifiers for identifying artifical signals, created by mathematical functions: sine, sawtooth and square waves. Our function set is basically composed by filtering operations on vectors and by arithmetic operations with constants and vectors. All the classifiers correctly identified true positive signals and did not identify true negative signals. We then moved to real audio recordings. For testing the classifiers, we picked different audio signals from the ones used during the training phase. For a first approach, the obtained results were very promising, but could be improved. We have made slight changes to our approach and the number of false positives reduced 33%, compared to the first approach. We then applied the evolved classifiers to polyphonic audio signals, and the results indicate that our approach is a good starting point for addressing the problem of Pitch Estimation.

THE LESSER-KNOWN PIANO CHAMBER MUSIC OF CAMILLE SAINT-SAENS: A RECORDING PROJECT

Throughout his long and industrious lifetime, Camille Saint-Saens (1835-1921) devoted himself unconditionally to music both as a composer and a performer. Saint-Saens was a self-described traditionalist and musical purist, yet his works are distinctly expressive and imaginative, and they reflect the composer's own unique musical language which incorporates recognizably modem traits such as chromaticism and frequent modulation. As a performer, Saint-Saens preferred to premiere his own works and often included his chamber music in his concert programs. Regarded primarily as a symphonic composer in the present day, however, his extensive and varied collection of chamber music works is sadly neglected. Six varied small-ensemble works with piano from his chamber music repertoire have been selected for study and recording for this project: Piano Trio No. 1 in F Major, Op. 18 (1864); Sonata for Cello and Piano No. 1 inC Minor, Op. 32 (1872); two pieces for two pianos, Le Rouet d'Omphale (The Spinning Wheel ofOmphale), Op. 31 (1871) and Phaeton, Op. 39 (1874); piano duet Konig Harald Haifagar (King Harald Haarfager), Op. 59 (1880); and a wind quartet, Caprice sur des airs Danois et Russes (Caprice on Danish and Russian Airs) for Flute, Oboe, Clarinet and Piano, Op. 79 (1887). Analyses of the forms and harmonic structures of these compositions will be included in this dissertation paper as well as studies from the viewpoint of Saint-Saens' compositional style, ensemble characteristics, and writing for the piano. The recordings for this project were made in four sessions in LeFrak Concert Hall at Queens College, the City University of New York. On September 24, 2003, Op. 31, Op. 39 and Op. 59 were recorded with Professor Morey Ritt, piano. On March 2, 2004, Op. 18 was recorded with Elena Rojas, violin, and Clare Liu, cello, and on March 15, 2004, Op. 32 was recorded, also with Ms. Liu. The Caprice, Op. 79 was recorded on June 27, 2008 with Laura Conwesser, flute; Randall Wolfgang, oboe; and Steve Hartman, clarinet. The recordings may be found on file in the library at the University of Maryland, College Park.

Images, 1re série pour piano à 2 mains. [music] /

At head of title: Original Edition.

Sonata no. 2 [op. 45]. [music] : for piano solo (1945) /

Cover title.

Late piano works. [music] /

Title on v.2 varies: Early and late piano works.

Präludium, Fuge und Allegro. [music] : für Klavier zu 2 Händen : Es dur = E[flat[ major = Mi[flat] majeur : BWV 998 /

Analytical notes: p. 12-15.

Slavic dances. [music] : for piano, 4 hands /

[1] Op. 46, Books I & II -- [2] Op. 72, Books I & II.