Dzhambazov, Georgi BogomilovYang, YileCaro Repetto, RafaelSerra, Xavier2017-10-102017-10-102016Dzhambazov G, Yang Y, Caro R, Serra X. Automatic alignment of long syllables in a cappella Beijing opera. In: Beauguitte P, Duggan B, Kelleher J, editors. 6th International Workshop on Folk Music Analysis; 2016 Jun 15-17; Dublin, Ireland. [place unknown]: International Workshop on Folk Music Analysis; 2016. p. 88-91.http://hdl.handle.net/10230/32889Comunicació presentada al 6th International Workshop on Folk Music Analysis, celebrat els dies 15 a 17 de juny de 2016 a Dublín, Irlanda.In this study we propose how to modify a standard approach for text-to-speech alignment to apply in the case of alignment of lyrics and singing voice. We model phoneme durations by means of a duration-explicit hidden Markov model (DHMM) phonetic recognizer based on MFCCs. The phoneme durations are empirically set in a probabilistic way, based on prior knowledge about the lyrics structure and metric principles, specific for the Beijing opera music tradition. Phoneme models are GMMs trained directly on a small corpus of annotated singing voice. The alignment is evaluated on a cappella material from Beijing opera, which is characterized by its particularly long syllable durations. Results show that the incorporation of music-specific knowledge results in a very high alignment accuracy, outperforming significantly a baseline HMM-based approach.application/pdfengThis Conference Paper is brought to you for free and open access by the 6th International Workshop on Folk Music Analysis, 15-17 June, 2016 at ARROW@DIT. It has been accepted for inclusion in Papers by an authorized administrator of ARROW@DIT. For more information, please contact yvonne.desmond@dit.ie, arrow.admin@dit.ie, brian.widdis@dit.ie. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.Música -- Anàlisiinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess