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Semi-supervised Lyrics and Solo-singing Alignment

Chitralekha Gupta, Rong Tong, Haizhou Li, Ye Wang
2018 Zenodo  
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]

Chitralekha Gupta, Emre Yılmaz, Haizhou Li
2019 arXiv   pre-print
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]

Charles Brazier, Gerhard Widmer
2021 arXiv   pre-print
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

Charles Brazier, Gerhard Widmer
2021 Zenodo  
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

David Ayllón, Fernando Villavicencio, Pierre Lanchantin
2019 Interspeech 2019  
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]

Charles Brazier, Gerhard Widmer
2021 arXiv   pre-print
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

Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gael Richard, Florence D'Alché-Buc
2020 Zenodo  
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

Anna M. Kruspe
2016 Interspeech 2016  
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

Xiaoxue Gao, Chitralekha Gupta, Haizhou Li
2022 Zenodo  
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

Georgi Dzhambazov, Xavier Serra
2017 Zenodo  
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]

Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu
2020 arXiv   pre-print
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

Hiromasa Fujihara, Masataka Goto, Marc Herbstritt
2012 Dagstuhl Publications  
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

Kyogu Lee, Markus Cremer
2008 Zenodo  
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

Min-Yen Kan, Ye Wang, Denny Iskandar, Tin Lay Nwe, Arun Shenoy
2008 IEEE Transactions on Audio, Speech, and Language Processing  
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

Matt McVicar, Daniel P W Ellis, Masataka Goto
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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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