2019:Automatic Lyrics-to-Audio Alignment - Revision history

Georgi Dzhambazov at 19:29, 12 March 2022

2022-03-12T19:29:01Z

Georgi Dzhambazov: /* Potential Participants */

2019-09-18T10:12:08Z

‎Potential Participants

Georgi Dzhambazov: /* Potential Participants */

2019-09-18T10:11:58Z

‎Potential Participants

Georgi Dzhambazov: /* Bibliography */

2019-09-18T10:11:04Z

‎Bibliography

Georgi Dzhambazov: /* Bibliography */

2019-09-18T10:05:06Z

‎Bibliography

Georgi Dzhambazov: /* Submission closing dates */

2019-09-18T09:39:46Z

‎Submission closing dates

Georgi Dzhambazov: /* Submission closing dates */

2019-07-26T04:50:23Z

‎Submission closing dates

DanielS: /* Evaluation Datasets */

2019-07-12T09:48:58Z

‎Evaluation Datasets

DanielS: /* Jamendo Dataset */

2019-07-12T09:48:15Z

‎Jamendo Dataset

Georgi Dzhambazov: /* DALI Dataset */

2019-07-10T19:44:55Z

‎DALI Dataset

← Older revision		Revision as of 19:29, 12 March 2022
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	A README file accompanying each submission should contain clear instructions on how to run the program (as well as contact information, etc.). In particular, each command line to run should be specified, using %input for the input sound file and %output for the resulting text file.		A README file accompanying each submission should contain clear instructions on how to run the program (as well as contact information, etc.). In particular, each command line to run should be specified, using %input for the input sound file and %output for the resulting text file.
		+
		+	== Time and hardware limits ==
		+	Due to the potentially high number of participants in this and other audio tasks, hard limits on the runtime of submissions will be imposed.
		+	A hard limit of 24 hours will be imposed on analysis times. Submissions exceeding this limit may not receive a result.
		+

	== Submission closing dates ==		== Submission closing dates ==

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 == Potential Participants ==
 Chitralekha Gupta
 Emir Demirel

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 == Potential Participants ==
+Chitralekha Gupta
 == Bibliography ==

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 Sharma B, Gupta C. (2019) Automatic Lyrics-to-audio Alignment on Polyphonic Music Using Singing-adapted Acoustic Models. ICASSP 2019
 Chang, S., & Lee, K. (2017). Lyrics-to-Audio Alignment by Unsupervised Discovery of Repetitive Patterns in Vowel Acoustics. arXiv preprint arXiv:1701.06078.
 Pons, J. Gong, R. and Serra, X. (2017). Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks. ISMIR 2017
@@ Line 169: / Line 170: @@
 Fujihara, H., & Goto, M. (2012). Lyrics-to-audio alignment and its application. In Dagstuhl Follow-Ups (Vol. 3). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
 Fujihara, H. Goto, M. Ogata, J. and Okuno, H. G. (2011) Lyricsynchronizer: Automatic synchronization system between musical audio signals and lyrics, IEEE Journal of Selected Topics in Signal Processing
 Mesaros, A. and Virtanen, T. (2008), Automatic alignment of music audio and lyrics, in Proceedings of the 11th Int. Conference on Digital Audio Effects (DAFx-08), Espoo, Finland, 2008.

@@ Line 161: / Line 161: @@
 Chang, S., & Lee, K. (2017). Lyrics-to-Audio Alignment by Unsupervised Discovery of Repetitive Patterns in Vowel Acoustics. arXiv preprint arXiv:1701.06078.
-Dzhambazov, G. and Serra, X. (2015) Modeling of phoneme durations for alignment between polyphonic audio and lyrics, in 12th Sound and Music Computing Conference
 Kruspe, A. (2016). Bootstrapping a System for Phoneme Recognition and Keyword Spotting in Unaccompanied Singing, ISMIR 2016
-Mesaros, A. and Virtanen, T. (2008), Automatic alignment of music audio and lyrics, in Proceedings of the 11th Int. Conference on Digital Audio Effects (DAFx-08), Espoo, Finland, 2008.
+Dzhambazov, G. and Serra, X. (2015) Modeling of phoneme durations for alignment between polyphonic audio and lyrics, in 12th Sound and Music Computing Conference
 Fujihara, H. Goto, M. Ogata, J. and Okuno, H. G. (2011) Lyricsynchronizer: Automatic synchronization system between musical audio signals and lyrics, IEEE Journal of Selected Topics in Signal Processing
 Mauch, M., Fujihara, H., & Goto, M. (2012). Integrating additional chord information into HMM-based lyrics-to-audio alignment. IEEE Transactions on Audio, Speech, and Language Processing, 20(1), 200-210.
-Pons, J. Gong, R. and Serra, X. (2017). Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks. ISMIR 2017
+Mesaros, A. and Virtanen, T. (2008), Automatic alignment of music audio and lyrics, in Proceedings of the 11th Int. Conference on Digital Audio Effects (DAFx-08), Espoo, Finland, 2008.

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 == Submission closing dates ==
-Closing date: TBD (30 September 2019)
+Closing date: 30 September 2019
 == Question? ==

@@ Line 39: / Line 39: @@
 ===Evaluation Datasets===
-The following datasets are used for evaluation and so cannot be used by participants under any circumstance.
+The following datasets are used for evaluation and so cannot be used by participants to train their models under any circumstance.
 ==== Hansen's Dataset ====

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 ==== Jamendo Dataset ====
-This dataset contains 20 full-duration music pieces with 10 different Western music genres, annotated with start-of-word timestamps. All songs have instrumental accompaniment. For more information refer to [https://arxiv.org/abs/1902.06797 this paper].
+This dataset contains 20 full-duration music pieces with 10 different Western music genres, annotated with start-of-word timestamps. All songs have instrumental accompaniment. It is available online on [https://github.com/f90/jamendolyrics Github], although note that we do not allow tuning model parameters using this data, it can only be used to gain insight into the general structure of the test data. For more information also refer to [https://arxiv.org/abs/1902.06797 this paper].
 * file duration up to 4:43 (total time: 1h 12m)

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 ==== DALI Dataset ====
-The DALI dataset (a large '''D'''ataset of synchronised '''A'''udio, '''L'''yr'''I'''cs and notes) contains over 5000 songs with semi-automatically aligned lyrics annotations. The songs are commercial recordings in full-duration, The lyrics are described according to different levels of granularity including words and notes (and syllables underlying a given note). For each song DALI provides a link to a matched youtube video, from which the audio could be retrieved.
+The DALI dataset (a large '''D'''ataset of synchronised '''A'''udio, '''L'''yr'''I'''cs and notes) contains over 5000 songs with semi-automatically aligned lyrics annotations. The songs are commercial recordings in full-duration, whereas the lyrics are described according to different levels of granularity including words and notes (and syllables underlying a given note). For each song DALI provides a link to a matched youtube video, from which the audio could be retrieved.
 For more details how, see its full description [https://github.com/gabolsgabs/DALI here].