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Context-Aware Features for Singing Voice Detection in Polyphonic Music [chapter]

Vishweshwara Rao, Chitralekha Gupta, Preeti Rao
2013 Lecture Notes in Computer Science  
In the present work, observed differences in singing style and instrumentation across genres are used to adapt acoustic features for the singing voice detection task.  ...  A method to isolate the dominant source spectrum serves to increase the robustness of the extracted features in the context of polyphonic audio.  ...  Conclusions In this paper we have investigated the use of a combination of static and dynamic features for effective detection of lead vocal segments within polyphonic music in a cross-cultural context  ... 
doi:10.1007/978-3-642-37425-8_4 fatcat:3c6yqg2amrdcdbmumgrn4czc4i

Discovery of repeated vocal patterns in polyphonic audio: A case study on flamenco music

Nadine Kroher, Aggelos Pikrakis, Jesus Moreno, Jose-Miguel Diaz-Banez
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
Rao, “Context-aware features burg, “Discovering repeated patterns in music: state of for singing voice detection in polyphonic music,” in knowledge, challenges perspectives,  ...  VOCAL DETECTION As we are targeting repeated patterns in vocal melodies, we first detect sections in which the singing voice is present based on low-level descriptors which exploit the limited instrumen  ... 
doi:10.1109/eusipco.2015.7362341 dblp:conf/eusipco/KroherPMD15 fatcat:favzsevgujb2xdjhc6xtx5hkqm

Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals

Georgi Dzhambazov, Xavier Serra
2017 Zenodo  
In this thesis, we devise computational models for tracking sung lyrics in multi-instrumental music recordings.  ...  This confirms that music-specific knowledge is an important stepping stone for computationally tracking lyrics, especially in the challenging case of singing with instrumental accompaniment.  ...  We introduced their training procedure in Section 2.2.8 and will refer  ... 
doi:10.5281/zenodo.841980 fatcat:tohf6dcvobhe3ei77nvp3wg3ba

Timbre And Melody Features For The Recognition Of Vocal Activity And Instrumental Solos In Polyphonic Music

Matthias Mauch, Hiromasa Fujihara, Kazuyoshi Yoshii, Masataka Goto
2011 Zenodo  
This work was supported in part by CrestMuse, CREST, JST. Further thanks to Queen Mary University of London and Last.fm for their support.  ...  Several previous approaches to singing detection in polyphonic music have relied on multiple features.  ...  Far less attention has been dedicated to the detection of instrumental solos in polyphonic music recordings.  ... 
doi:10.5281/zenodo.1415716 fatcat:vvzrgdfll5gytdt5ra34ghblqe

Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review [article]

Gurunath Reddy M and K. Sreenivasa Rao and Partha Pratim Das
2022 arXiv   pre-print
In this paper, an attempt has been made to review the up-to-date data-driven deep learning approaches for melody extraction from polyphonic music.  ...  Melody extraction is a vital music information retrieval task among music researchers for its potential applications in education pedagogy and the music industry.  ...  The dominant instrument can be the human singing voice or any lead instrument in the polyphonic music signal.  ... 
arXiv:2202.01078v1 fatcat:ptmc2gl455ezrburr7lvbmpxqq

Auditory Streaming Complexity and Renaissance Mass Cycles

Finn Upham, Julie Cumming
2021 Empirical Musicology Review  
the number of parts in the score or the distribution of voices active through the piece.  ...  How did Renaissance listeners experience the polyphonic mass ordinary cycle in the soundscape of the church?  ...  time of year or the feast day; the changing sections with music are known as mass propers.  ... 
doi:10.18061/emr.v15i3-4.7980 fatcat:ry4pp4k7orgopcnh47nd2pj4da

Computational Methods for Melody and Voice Processing in Music Recordings (Dagstuhl Seminar 19052)

Meinard Müller, Emilia Gómez, Yi-Hsun Yang, Michael Wagner
2019 Dagstuhl Reports  
In the seminar we discussed how to detect, extract, and analyze melodic voices as they occur in recorded performances of a piece of music.  ...  This is demonstrated, for example, by the large community of singers active in choirs or by the fact that music constitutes an important part of our cultural heritage.  ...  Especially in the challenging context of polyphonic singing, we see potential in supporting this learning task with computational techniques.  ... 
doi:10.4230/dagrep.9.1.125 dblp:journals/dagstuhl-reports/MullerGY19 fatcat:w4slm5nxqrdlfaser5dtqar7s4

Detecting tāla Computationally in Polyphonic Context-A Novel Approach

Susmita Bhaduri, Anirban Bhaduri, Dipak Ghosh
2018 American Journal of Computer Science and Information Technology  
In North-Indian-Music-System(NIMS),tabla is mostly used as percussive accompaniment for vocal-music in polyphonic-compositions.  ...  In this work we propose a novel technique for successfully detecting tala using left-tabla signal, producing meaningful results because the left-tabla normally doesn't have frequency overlap with voice  ...  We also thank renowned musician This article is available from: https://www.imedpub.com/computer-science-and-information-technology/ Foundation) for extending help in editing the manuscript to enhance  ... 
doi:10.21767/2349-3917.100030 fatcat:nkbcr4uhoneslfy66niy37y264

Table of Contents [EDICS]

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
Zeng 852 Semantic Tagging of Singing Voices in Popular Music Recordings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715 Out-of-Domain Detection for Natural  ...  Bourlard 1717 Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/taslp.2020.3046150 fatcat:easrxuwl6zdppejsrf4bskxfw4

A Low-Latency, Real-Time-Capable Singing Voice Detection Method With Lstm Recurrent Neural Networks

Sebastian Böck, Bernhard Lehner, Gerhard Widmer
2015 Zenodo  
Publication in the conference proceedings of EUSIPCO, Nice, France, 2015  ...  INTRODUCTION At a first glance, the problem of singing voice detection (SVD) in polyphonic music recordings seems to be analogous to voice activity detection (VAD).  ...  Results on RWC Music Database. CONCLUSION We suggest a method for singing voice detection that uses very light-weight features, along with LSTM-RNN.  ... 
doi:10.5281/zenodo.38849 fatcat:o2hn3ph2fbfylo2wgcsofz2tlm

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model [article]

Daniel Stoller, Simon Durand, Sebastian Ewert
2019 arXiv   pre-print
Compared to text-to-speech alignment, lyrics alignment remains highly challenging, despite many attempts to combine numerous sub-modules including vocal separation and detection in an effort to break down  ...  Time-aligned lyrics can enrich the music listening experience by enabling karaoke, text-based song retrieval and intra-song navigation, and other applications.  ...  Acknowledgments: We thank Georgi Dzhambazov for assisting with the evaluation in the context of the MIREX challenge.  ... 
arXiv:1902.06797v1 fatcat:mulyu5b2k5hofosxkvor5iz6au

Svan Funeral Dirges (Zär): Musicological Analysis

Nana MZHAVANADZE, Frank SCHERBAUM
2020 Musicologist  
Jointly, the papers describe the results of an interdisciplinary study on three-voiced Svan funeral dirges, known as zär in Svan and zari in Georgian.  ...  Finally, we see the most interesting aspects of our entire study in the implications it has for the discourse on the historical dynamics of Georgian polyphony.  ...  Acknowledgements This work was supported by the German Research Foundation within the framework of the project Computational Analysis of Traditional Georgian Vocal Music (GVM) (DFG MU 2686/13-1, SCHE 280  ... 
doi:10.33906/musicologist.782185 fatcat:pxl6skxmsbagpis777loxhxeyi

2020 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 28

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
Yu, D., +, TASLP 2020 852-861 Semantic Tagging of Singing Voices in Popular Music Recordings.  ...  Yang, L., +, TASLP 2020 1669-1677 Semantic Tagging of Singing Voices in Popular Music Recordings.  ...  T Target tracking Multi-Hypothesis Square-Root Cubature Kalman Particle Filter for Speaker Tracking in Noisy and Reverberant Environments. Zhang, Q., +, TASLP 2020 1183 -1197  ... 
doi:10.1109/taslp.2021.3055391 fatcat:7vmstynfqvaprgz6qy3ekinkt4

Table of Contents

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
Yan 1452 Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection . , and L.  ...  Yoshii 1644 Semantic Tagging of Singing Voices in Popular Music Recordings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/taslp.2020.3046148 fatcat:hirdphjf6zeqdjzwnwlwlamtb4

Mappe Per Affetti Erranti : A Multimodal System For Social Active Listening And Expressive Performance

Antonio Camurri, Corrado Canepa, Paolo Coletta, Barbara Mazzarino, Gualtiero Volpe
2008 Zenodo  
content in real-time through fullbody movement and gesture.  ...  On the one hand, multiple users can physically navigate a polyphonic music piece, actively exploring it; on the other hand they can intervene on the music performance modifying and molding its expressive  ...  Tiranti for the useful discussions and stimuli during the preparation of the dance and music performance; composer Marco Canepa for recording and preparing the audio material.  ... 
doi:10.5281/zenodo.1179505 fatcat:chofrutscvdh7auj7alcyxddoa
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