Browsing by Author "Dzhambazov, Georgi Bogomilov"

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  • Dzhambazov, Georgi Bogomilov; Yang, Yile; Caro Repetto, Rafael; Serra, Xavier (International Workshop on Folk Music Analysis, 2016)
    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 ...
  • Dzhambazov, Georgi Bogomilov; Sentürk, Sertan; Serra, Xavier (Computer Engineering Department, Bogaziçi University, 2014)
    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 ...
  • Dzhambazov, Georgi Bogomilov (Universitat Pompeu Fabra, 2017-06-28)
    This thesis proposes specific signal processing and machine learning methodologies for automatically aligning the lyrics of a song to its corresponding audio recording. The research carried out falls in the broader field ...
  • Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    In this paper we describe an algorithm for automatic lyricsto-audio alignment. It has as a goal the automatic detection of word boundaries in multi-instrumental English pop songs. We rely on a phonetic recognizer based on ...
  • Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    In this paper we describe the two algorithms we submitted for the MIREX 2017 task of Automatic Lyrics-to-Audio Alignment. The task has as a goal the automatic detection of word boundaries in multi-instrumental English pop ...
  • Dzhambazov, Georgi Bogomilov; Holzapfel, Andre; Srinivasamurthy, Ajay; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    The goal of this study is the automatic detection of onsets of the singing voice in polyphonic audio recordings. Starting with a hypothesis that the knowledge of the current position in a metrical cycle (i.e. metrical ...
  • Dzhambazov, Georgi Bogomilov; Serra, Xavier (Music Technology Research Group, Department of Computer Science, Maynooth University, 2015)
    In this work we propose how to modify a standard scheme for text-to-speech alignment for the alignment of lyrics and singing voice. To this end we model the duration of phonemes specific for the case of singing. We rely ...
  • Dzhambazov, Georgi Bogomilov; Srinivasamurthy, Ajay; Sentürk, Sertan; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    Lyrics-to-audio alignment aims to automatically match given lyrics and musical audio. In this work we extend a state of the art approach for lyrics-to-audio alignment with information about note onsets. In particular, we ...
  • Gong, Rong; Obin, Nicolas; Dzhambazov, Georgi Bogomilov; Serra, Xavier (Folk Music Analysis, 2017)
    This paper introduces a new unsupervised and score-informed method for the segmentation of singing voice into syllables. The main idea of the proposed method is to detect the syllable onset on a probability density ...
  • Dzhambazov, Georgi Bogomilov; Sentürk, Sertan; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2015)
    Search by lyrics, the problem of locating the exact occurrences of a phrase from lyrics in musical audio, is a recently emerging research topic. Unlike key-phrases in speech, lyrical key-phrases have durations that bear ...
  • Dzhambazov, Georgi Bogomilov; Goranchev, Kamen (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    In this paper we present Sing Master - a new mobile application that allows singing enthusiasts to fulfil their dream: to learn singing. Sing Master is a game-like singing tutor that presents a series of singing exercises ...
  • Dzhambazov, Georgi Bogomilov; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)