Automatic lyrics-to-audio alignment in classical Turkish music

Dzhambazov, Georgi Bogomilov; Sentürk, Sertan; Serra, Xavier

Automatic lyrics-to-audio alignment in classical Turkish music

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Citation

Dzhambazov G, Sentürk S, Serra X. Automatic lyrics-to-audio alignment in classical Turkish music. In: Holzapfel A, editor. Proceedings of the Fourth International Workshop on Folk Music Analysis (FMA2014); 2014 June 12-13; Istanbul, Turkey. Istanbul, Turkey: Computer Engineering Department, Bogaziçi University; 2014. p. 61-64.

Abstract

We apply a lyrics-to-audio alignment state-of-the-art approach to polyphonic pieces from classical Turkish repertoire. A phonetic recognizer is employed, whereby each phoneme is assigned a hidden Markov model (HMM). Initially trained on speech, the models are adapted on singing voice to match the acoustic characteristics of the test dataset. Being the first study on lyrics-to-audio alignment applied on Turkish music, it could serve as a baseline for singing material with similar musical characteristics. As part of this work a dataset of recordings from the classical music tradition is compiled. Experiments, conducted separately for male and female singers, show that female singing is aligned more accurately.

Description

Comunicació presentada al Fourth International Workshop on Folk Music Analysis (FMA2014), celebrat els dies 12 i 13 de juny de 2014 a Istanbul, Turquia.