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Semi-supervised Lyrics and Solo-singing Alignment
2018
Zenodo
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Second, the automatically aligned sung segments are used for singing acoustic model adaptation, which reduces the word error rate (WER) of automatic transcription of sung lyrics from 72.08% to 37.15% in ...
The proposed framework offers an automatic way to generate reliable alignments between lyrics and solosinging. ...
Segmentation One way to automatically align the published lyrics with a solo-singing audio is to force-align the lyrics with the full rendition audio (2 to 4 minutes long) using speech trained acoustic ...
doi:10.5281/zenodo.1492487
fatcat:e2kbncbklze3djdz44x4qdxqam
Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help?
[article]
2019
arXiv
pre-print
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We then present the lyrics alignment and transcription performance of music-informed acoustic models for the best-performing pipeline, and systematically study the impact of music genre and language model ...
In this work, we propose to learn music genre-specific characteristics to train polyphonic acoustic models. ...
In this study, we train genre-informed acoustic models for automatic lyrics transcription and alignment using an openly available polyphonic audio resource. ...
arXiv:1909.10200v2
fatcat:6sc6dywp6jcvzhf35pyyluly3a
On-Line Audio-to-Lyrics Alignment Based on a Reference Performance
[article]
2021
arXiv
pre-print
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The proposed model predicts, for each audio frame, a probability vector over (European) phoneme classes, using a very small temporal context, and aligns this vector with a phoneme posteriogram matrix computed ...
Audio-to-lyrics alignment has become an increasingly active research task in MIR, supported by the emergence of several open-source datasets of audio recordings with word-level lyrics annotations. ...
All proposed audio-to-lyrics alignment methods are composed of an acoustic model, classifying each audio frame into a set of textual units, and an alignment procedure to obtain the desired lyrics timings ...
arXiv:2107.14496v1
fatcat:zxxjw6nefzhfhbbadfy247tw7i
On-Line Audio-to-Lyrics Alignment Based on a Reference Performance
2021
Zenodo
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The proposed model predicts, for each audio frame, a probability vector over (European) phoneme classes, using a very small temporal context, and aligns this vector with a phoneme posteriogram matrix computed ...
Audio-to-lyrics alignment has become an increasingly active research task in MIR, supported by the emergence of several open-source datasets of audio recordings with word-level lyrics annotations. ...
Thanks to Andrea Vaglio, Emir Demirel, and Khaled Koutini for our interesting discussions about this work. ...
doi:10.5281/zenodo.5625665
fatcat:qdnfa6vd4fgeneltgvwvq33ixi
A Strategy for Improved Phone-Level Lyrics-to-Audio Alignment for Speech-to-Singing Synthesis
2019
Interspeech 2019
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We propose a complete pipeline for automatic phone-level lyrics-to-audio alignment based on an HMM-based forced-aligner and singing acoustics normalization. ...
Unfortunately, the precision of existing techniques for phone-level lyrics-to-audio alignment has been found insufficient for this task. ...
Pre-processing
Audio One of the main aspects limiting the performance of acoustic models trained on speech for the lyrics-to-audio alignment can be seen in a significant variation of the spectral information ...
doi:10.21437/interspeech.2019-3049
dblp:conf/interspeech/AyllonVL19
fatcat:lyshaz25ybgs3a7jca5eg6o6yy
Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking
[article]
2021
arXiv
pre-print
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Fully automatic opera tracking is challenging because of the acoustic complexity of the genre, combining musical and linguistic information (singing, speech) in complex ways. ...
In addition, a lyrics tracker, that has recently been shown to reliably track the lyrics of opera songs, will correct the music tracker when tracking parts that have a text dominance over the music. ...
More specifically, the acoustic model will predict, for each audio frame, a probability vector over a set of phonemes. ...
arXiv:2110.02592v1
fatcat:hb7mu7mc35hjhiuufm5zc4hfnm
Multilingual lyrics-to-audio alignment
2020
Zenodo
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In this paper, we address the lyrics-to-audio alignment task in a generalized multilingual setup. ...
Lyrics-to-audio alignment methods have recently reported impressive results, opening the door to practical applications such as karaoke and within song navigation. ...
Lyrics-to-audio alignment is performed on outputs of the acoustic model by a CTC-based alignment decoding function. ...
doi:10.5281/zenodo.4245483
fatcat:bc74geespfakhggnksawv6huyy
Retrieval of Textual Song Lyrics from Sung Inputs
2016
Interspeech 2016
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The results are highly encouraging and could be used further to perform automatic lyrics alignment and keyword spotting for large databases of songs. ...
Since these lyrics do not have any temporal information, we then employ an approach based on Dynamic Time Warping to retrieve the most likely lyrics document for each recording. ...
Lyrics alignment Since the textual lyrics were not aligned to the singing audio data, we first performed a forced alignment step. A monophone HMM acoustic model trained on Timit using HTK was used. ...
doi:10.21437/interspeech.2016-1272
dblp:conf/interspeech/Kruspe16
fatcat:rkvkvwavjbdrvhs2m5xmy27auq
Music-Robust Automatic Lyrics Transcription Of Polyphonic Music
2022
Zenodo
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We show that these two sets of features complement each other, and their combination performs better than when they are used alone, thus improving the robustness of the acoustic model to the background ...
Our experiments show that our proposed strategy outperforms the existing lyrics transcription systems for polyphonic music. ...
The state-of-the-art Kaldi acoustic modeling pipeline consists of a context dependent phonetic alignment model, to get time-alignments between the lyrics and the audio, and an acoustic modelling network ...
doi:10.5281/zenodo.6573304
fatcat:ukrvgk2ebnfqdd4ouvkww5omnu
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals
2017
Zenodo
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Using the proposed models sung lyrics are automatically aligned to written lyrics on datasets from Ottoman Turkish makam and Beijing opera, whereby principles, specific for these music traditions are considered ...
In this thesis, we devise computational models for tracking sung lyrics in multi-instrumental music recordings. ...
Acknowledgements This motivated us to take the opportunity to consider the deep MLP model the authors trained from amateur singers in their subsequent work - (Kruspe, 2016) . ...
doi:10.5281/zenodo.841980
fatcat:tohf6dcvobhe3ei77nvp3wg3ba
DeepSinger: Singing Voice Synthesis with Data Mined From the Web
[article]
2020
arXiv
pre-print
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Specifically, we design a lyrics-to-singing alignment model to automatically extract the duration of each phoneme in lyrics starting from coarse-grained sentence level to fine-grained phoneme level, and ...
alignment model further avoids any human efforts for alignment labeling and greatly reduces labeling cost, 3) the singing model based on a feed-forward Transformer is simple and efficient, by removing ...
Specifically, the detailed designs of the lyrics-to-singing alignment model and singing model are as follows: • We build the lyrics-to-singing alignment model based on automatic speech recognition to extract ...
arXiv:2007.04590v2
fatcat:3hlm6un6hjf6rf277cklibzldq
Lyrics-to-Audio Alignment and its Application
2012
Dagstuhl Publications
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Automatic lyrics-to-audio alignment techniques have been drawing attention in the last years and various studies have been made in this field. ...
The objective of lyrics-to-audio alignment is to estimate a temporal relationship between lyrics and musical audio signals and can be applied to various applications such as Karaoke-style lyrics display ...
Primary Cue for Aligning Music and Lyrics To characterize algorithms for lyrics-to-audio alignment, it is of central importance to categorize what kind of features they extract from audio and lyrics and ...
doi:10.4230/dfu.vol3.11041.23
dblp:conf/dagstuhl/FujiharaG12
fatcat:nmibvez27rahjmwsp3djjf5waa
Segmentation-Based Lyrics-Audio Alignment Using Dynamic Programming
2008
Zenodo
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Wang et al., for example, have proposed a hierarchical approach for automatic alignment of acoustic musical signals with textual lyrics [11, 9] . ...
Their algorithm has two main components: 1) vocal/non-vocal detector and 2) alignment of the audio signal with its lyrics at multiple levels using acoustic models. ...
doi:10.5281/zenodo.1416934
fatcat:43jtyaodlfe3ppyx4niosa6aui
LyricAlly: Automatic Synchronization of Textual Lyrics to Acoustic Music Signals
2008
IEEE Transactions on Audio, Speech, and Language Processing
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We present LyricAlly, a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. ...
Results show an average error of less than one bar for per-line alignment of the lyrics on a test bed of 20 songs (sampled from CD audio and carefully selected for variety). ...
This paper presents a solution and implemented system for one such alignment problem: automatically synchronizing music to its lyrics. ...
doi:10.1109/tasl.2007.911559
fatcat:k6zpdilkijaifmhbw3fwusz2ou
Leveraging repetition for improved automatic lyric transcription in popular music
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Transcribing lyrics from musical audio is a challenging research problem which has not benefited from many advances made in the related field of automatic speech recognition, owing to the prevalent musical ...
However, one aspect of this problem which has yet to be exploited by researchers is that significant portions of the lyrics will be repeated throughout the song. ...
on the task of aligning/synchronising lyrics to audio, where the task is to assign timestamps to a set of lyrics given the corresponding audio (see, for example, [12, [17] [18] [19] [20] ). ...
doi:10.1109/icassp.2014.6854174
dblp:conf/icassp/McVicarEG14
fatcat:fq7jm34jl5fynolzisdcvxdxzq
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