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1
Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles
In: International Workshop on Folk Music Analysis ; https://hal.sorbonne-universite.fr/hal-01513160 ; International Workshop on Folk Music Analysis, Jun 2017, Malaga, Spain (2017)
Abstract: International audience ; 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 function by incorporating a priori syllable duration derived from the score. Firstly, intensity profiles are used to exploit the characteristics of singing voice depending on the Mel-frequency regions. Then, the syllable onset probability density function is obtained by selecting candidates over the intensity profiles and weighted for the purpose of emphasizing the onset regions. Finally, the syllable duration distribution shaped by the score is incorporated into Viterbi decoding to determine the optimal sequence of onset time positions. The proposed method outperforms conventional methods for the segmentation of syllable on a jingju (also known as Peking or Beijing opera) a cappella dataset. An analysis is conducted on precision errors to provide direction for future improvement.
Keyword: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
URL: https://hal.sorbonne-universite.fr/hal-01513160
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2
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
Dzhambazov, Georgi. - : Zenodo, 2017
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3
Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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4
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
Dzhambazov, Georgi. - : Zenodo, 2017
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5
Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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6
Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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7
Knowledge-based probabilistic modeling for tracking lyrics in music audio signals
Dzhambazov, Georgi. - : Universitat Pompeu Fabra, 2017
In: TDX (Tesis Doctorals en Xarxa) (2017)
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8
Automatic Alignment of Long Syllables in a Cappella Beijing Opera
In: Papers (2016)
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9
Automatic Alignment of Long Syllables in a Cappella Beijing Opera ...
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10
Automatic sentence boundary detection for German broadcast news
In: Fraunhofer IAIS (2012)
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11
Searching lyrical phrases in a-capella Turkish Makam recordings
Sentürk, Sertan; Dzhambazov, Georgi Bogomilov; Serra, Xavier. - : International Society for Music Information Retrieval (ISMIR)
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12
On the use of note onsets for improved lyrics-to-audio alignment in Turkish Makam music
Sentürk, Sertan; Dzhambazov, Georgi Bogomilov; Serra, Xavier. - : International Society for Music Information Retrieval (ISMIR)
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13
Lyrics to audio alignment in polyphonic audio
Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier. - : International Society for Music Information Retrieval (ISMIR)
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14
Lyrics to audio alignment for karaoke in pop music
Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier. - : International Society for Music Information Retrieval (ISMIR)
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15
Score-informed syllable segmentation for Jingju a cappella singing voice with Mel-frequency intensity profiles
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16
Automatic lyrics-to-audio alignment in classical Turkish music
Dzhambazov, Georgi Bogomilov; Sentürk, Sertan; Serra, Xavier. - : Computer Engineering Department, Bogaziçi University
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17
Modeling of phoneme durations for alignment between polyphonic audio and lyrics
Dzhambazov, Georgi Bogomilov; Serra, Xavier. - : Music Technology Research Group, Department of Computer Science, Maynooth University
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18
Automatic alignment of long syllables in a cappella Beijing opera
Dzhambazov, Georgi Bogomilov; Serra, Xavier; Caro Repetto, Rafael. - : International Workshop on Folk Music Analysis
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