Énekszó : dalok népi versekre, op. 1 = Songs on Hungarian popular words /

16 songs based on folk texts.

A group of songs.

Mode of access: Internet.

Songs and airs /

"The pianoforte accompaniments have in every case been arranged direct from Handel's full score."

The songs of England : a collection of 200 English melodies, including the most popular traditional ditties, and the principal songs and ballads of the last three centuries /

Each volume contains 100 songs with piano acc.

Collected songs of Leopold Damrosch /

Contains op. 5-8, 10-11, 13-14, 16-17, and three songs without opus no.

Songs of two savoyards /

"All numbers which in their original form were choruses or concerted pieces have been arranged for a single voice and the accompaniments adapted accordingly ... by C. King Hall."

Neue Lieder und Duette : (New songs and duets) /

Mode of access: Internet.

Specimen copies of choice songs and ballads

Mode of access: Internet.

Songs.

Binder's title.

Breton folk-songs : set to music (for soprano, contralto, tenor and bass) /

English words also printed as text.

Songs of Ireland : 100 most popular Irish songs /

For voice and piano.

Aloha collection of Hawaiian songs /

For voice and piano; most songs also include mixed chorus (SATB).

My favorite songs /

Piano accompaniment.

The southern harp : consisting of original sacred and moral songs adapted to the most popular melodies /

For 1-3 voices.

Cross recurrence quantification for cover song identification

There is growing evidence that nonlinear time series analysis techniques can be used to successfully characterize, classify, or process signals derived from realworld dynamics even though these are not necessarily deterministic and stationary. In the present study we proceed in this direction by addressing an important problem our modern society is facing, the automatic classification of digital information. In particular, we address the automatic identification of cover songs, i.e. alternative renditions of a previously recorded musical piece. For this purpose we here propose a recurrence quantification analysis measure that allows tracking potentially curved and disrupted traces in cross recurrence plots. We apply this measure to cross recurrence plots constructed from the state space representation of musical descriptor time series extracted from the raw audio signal. We show that our method identifies cover songs with a higher accuracy as compared to previously published techniques. Beyond the particular application proposed here, we discuss how our approach can be useful for the characterization of a variety of signals from different scientific disciplines. We study coupled Rössler dynamics with stochastically modulated mean frequencies as one concrete example to illustrate this point.