Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Statistical Machine Translation from Arab Vocal Improvisation to Instrumental Melodic Accompaniment

Fadi Al-Ghawanmeh 1 Kamel Smaïli 2 
2 SMarT - Statistical Machine Translation and Speech Modelization and Text
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Vocal improvisation is an essential practice in Arab music. The interactivity between the singer and the instru-mentalist(s) is a main feature of this deep-rooted musical form. As part of the interactivity, the instrumentalist re-capitulates, or translates, each vocal sentence upon its completion. In this paper, we present our own parallel corpus of instrumentally accompanied Arab vocal improvisation. The initial size of the corpus is 2779 parallel sentences. We discuss the process of building this corpus as well as the choice of data representation. We also present some statistics about the corpus. Then we present initial experiments on applying statistical machine translation to propose an automatic instrumental accompaniment to Arab vocal improvisation. The results with this small corpus, in comparison to classical machine translation of natural languages, are very promising: a BLEU of 24.62 from Vocal to instrumental and 24.07 from instrumental to vocal.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Kamel Smaïli Connect in order to contact the contributor
Submitted on : Saturday, December 9, 2017 - 6:04:28 PM
Last modification on : Wednesday, November 3, 2021 - 7:56:53 AM


Files produced by the author(s)


  • HAL Id : hal-01660023, version 1



Fadi Al-Ghawanmeh, Kamel Smaïli. Statistical Machine Translation from Arab Vocal Improvisation to Instrumental Melodic Accompaniment. ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing, ISGA, Dec 2017, Casablanca, Morocco. ⟨hal-01660023⟩



Record views


Files downloads