2026-04-17T04:06:38Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/321392025-12-13T21:27:27Zcom_2072_6col_2072_452952

00925njm 22002777a 4500 dc Dzhambazov, Georgi Bogomilov author Sentürk, Sertan author Serra, Xavier author 2017-05-22T09:14:52Z 2017-05-22T09:14:52Z 2014 Comunicació presentada al Fourth International Workshop on Folk Music Analysis (FMA2014), celebrat els dies 12 i 13 de juny de 2014 a Istanbul, Turquia. 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. This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583). So -- Enregistrament i reproducció Automatic lyrics-to-audio alignment in classical Turkish music