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Singer Identification In Polyphonic Music Using Vocal Separation And Pattern Recognition Methods

Annamaria Mesaros, Tuomas Virtanen, Anssi Klapuri
2007 Zenodo  
CONCLUSIONS In this paper we tested methods for singer identification in polyphonic music. Identification on both polyphonic music and separated vocals was tested.  ...  This paper gives an evaluation of different classification methods in polyphonic case and also separation of the vocal line.  ... 
doi:10.5281/zenodo.1417395 fatcat:bslqdwrmyzcvha4k344vueei6y

Singing information processing based on singing voice modeling

Masataka Goto, Takeshi Saitou, Tomoyasu Nakano, Hiromasa Fujihara
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
Common signal processing techniques for modeling singing voices that are used in these systems, such as techniques for extracting the vocal melody from polyphonic music recordings and modeling the lyrics  ...  We then introduce music information retrieval systems based on similarity of vocal melody timbre and vocal percussion, and singing synthesis systems.  ...  Singer ID: Singer identification for polyphonic music recordings Our Singer ID system automatically identifies the name of the singer who sang the input song in the form of polyphonic musical audio signals  ... 
doi:10.1109/icassp.2010.5495212 dblp:conf/icassp/GotoSNF10 fatcat:3xlmcazibngltmkxlw2kv5c35m

Separation of Singing Voice from Music Background

Harshada Burute, P.B. Mane
2015 International Journal of Computer Applications  
In a song the singing voice provides useful information regarding pitch range, music content, music tempo and rhythm.  ...  The paper presents survey of the various algorithm and method for separating singing voice from musical background.  ...  A singing voice separation system has its applications in areas such as automatic lyrics recognition and alignment, singer identification, musical information retrieval, karaoke, musical genre classification  ... 
doi:10.5120/ijca2015906806 fatcat:bhx32kytazdqjcllmlt32pcraq

Singer Identification by Vocal Parts Detection and Singer Classification Using LSTM Neural Networks

K. Rajashekhar Rao, K. Sharvani, Ch. Shri Vaishnawi, Margaret Marina
2022 International Journal for Research in Applied Science and Engineering Technology  
It has acquired the scientist's intrigues in two primary branches,1) recognizing vocal parts of polyphonic music, and 2) Classifying Singer. Here, we plan to handle the two issues, simultaneously.  ...  In this work, we proposed a system for singer identification using Deep Learning and Feed Forward Neural Networks, which to the best of our knowledge have not been used for this purpose before.  ...  The strategy used here is to first recognize the vocal parts and classify the gender of the singer, and then perform the identification of the singer.  ... 
doi:10.22214/ijraset.2022.46473 fatcat:74lhjbxycvcapfjqprwf7ucx7e

Singer and music discrimination based threshold in polyphonic music

Hassan Ezzaidi, Mohammed Bahoura, Jean Rouat
2010 The 10th IEEE International Symposium on Signal Processing and Information Technology  
Song and music discrimination play a significant role in multimedia applications such as genre classification and singer identification.  ...  Song and music discrimination play a significant role in multimedia applications such as genre classification and singer identification.  ...  [4] propose two different approaches to singer identification: one where the acoustic features are extracted directly from the polyphonic signal and the other where the vocal line is first separated  ... 
doi:10.1109/isspit.2010.5711726 dblp:conf/isspit/EzzaidiBR10 fatcat:ugnplvaeezciddsd7mdu2wufme

Statistical and Neural Classifiers: Application for Singer and Music Discrimination in Polyphonic Music Context [chapter]

Hassan Ezzaidi, Mohammed Bahoura
2010 Lecture Notes in Computer Science  
The recognition scores is evaluated on data used in the training session and others never seen by proposed systems.  ...  All techniques are based on Mel frequency Cepstres Coefficients (MFCC), which commonly used in the speech and speaker recognition domains, are presented and compared in this paper.  ...  for singer identification in polyphonic music using a concept of vocal separation [4] .  ... 
doi:10.1007/978-3-642-13681-8_16 fatcat:fxu5l7io6zdldhxbsq26a3deke

Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings

Nadine Kroher, Emilia Gómez, Miquel Ramírez
2013 Zenodo  
This study focuses on the description of the characteristics of a particular singer. In order to find suitable feature sets, a genre-specific automatic singer identification is implemented.  ...  For Western classical and popular music, related approaches have mainly relied on the extraction of timbre-based features to automatically recognize a singer by analyzing audio recordings.  ...  Most timbre features used in singer identification are based on the concept of separating the voice signal into a source signal and a filter transfer function.  ... 
doi:10.5281/zenodo.3754293 fatcat:eu24vltd4vatlorfncpvblpgku

A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval

Hiromasa Fujihara, Masataka Goto, Tetsuro Kitahara, Hiroshi G. Okuno
2010 IEEE Transactions on Audio, Speech, and Language Processing  
Index Terms-Music information retrieval (MIR), singer identification, singing voice, vocal, vocal timbre similarity.  ...  Because singing voices play an important role in musical pieces with vocals, such representation is useful for music information retrieval systems.  ...  Experiments Using RWC Music Database We conducted experiments to evaluate our singer identification system. 1) Condition and Results: We conducted experiments on singer identification using the "RWC  ... 
doi:10.1109/tasl.2010.2041386 fatcat:vdwhuhsygbgxrnednxbbfl3e6y

Hybrid Feature Based Classifier Performance Evaluation of Monophonic and Polyphonic Indian Classical Instruments Recognition

Abhijit V. Chitre, Dept. of E&TC Engineering, Vishwakarma Institute of Information Technology, Pune, India., Ketan J. Raut, Tushar Jadhav, Minal S. Deshmukh, Kirti Wanjale, Dept. of E&TC Engineering, Vishwakarma Institute of Information Technology, Pune, India., Dept. of E&TC Engineering, Vishwakarma Institute of Information Technology, Pune, India., Dept. of E&TC Engineering, Vishwakarma Institute of Information Technology, Pune, India., Dept. of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India.
2021 Journal of University of Shanghai for Science and Technology  
Monophonic and polyphonic recordings of musical instruments can be identified using this method.  ...  Instrument recognition in computer music is an important research area that deals with sound modelling.  ...  Introduction Musical instrument identification exhibits number of applications which are useful in musical data mining.  ... 
doi:10.51201/jusst/21/11969 fatcat:vwypamasxfblrif4642mzer3ce

Singing Voice separation from Polyphonic Music Accompanient using Compositional Model

Priyanka Umap, Kirti Chaudhari
2015 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering  
that musical accompaniment as low rank subspace since musical signal model is repetitive in character while singing voices can be treated as moderately sparse in nature within the song.  ...  From spectrogram results of separated synthesized song musical accompaniments harmonic structure of instruments can be verified.  ...  This procedure has received recent prominence in the field of audio separation for the application of singer identification, musical information retrieval, lyric recognition and alignment.  ... 
doi:10.15662/ijareeie.2015.0402006 fatcat:mybjcmvlbbc23acxu4w3cjikce

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  
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.  ...  The Dagstuhl Seminar 19052 was devoted to a branch of MIR that is of particular importance: processing melodic voices (with a focus on singing voices) using computational methods.  ...  methods exist that generate reasonably accurate melody estimates from polyphonic music, particularly for vocal melodies.  ... 
doi:10.4230/dagrep.9.1.125 dblp:journals/dagstuhl-reports/MullerGY19 fatcat:w4slm5nxqrdlfaser5dtqar7s4

Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music [article]

Yifu Sun, Xulong Zhang, Yi Yu, Xi Chen, Wei Li
2022 arXiv   pre-print
Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR).  ...  The task remains challenging since singing voice varies and intertwines with the accompaniment music, especially for some complicated polyphonic music such as choral music recordings.  ...  voice activities in polyphonic music.  ... 
arXiv:2004.04040v3 fatcat:polmz3yxhvejxftqwjmvk6im4u

Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

Justin Salamon, Emilia Gomez, Daniel P. W. Ellis, Gael Richard
2014 IEEE Signal Processing Magazine  
We start with a discussion of "melody" from both musical and signal processing perspectives and provide a case  ...  This article provides an overview of these techniques, the applications for which melody extraction is useful, and the challenges that remain.  ...  His Laboratory for Recognition and Organization of Speech and Audio is concerned with all aspects of extracting high-level information from audio, including speech recognition, music description, and environmental  ... 
doi:10.1109/msp.2013.2271648 fatcat:5dzpy4j3ibfzhmsgeoww3b5jwa

Singing Phoneme Class Detection In Polyphonic Music Recordings

Ourania Vagia, Perfecto Herrera
2008 Zenodo  
Specifically, we are interested in building statistical classification models that are able to automatically distinguish sung consonants and vowels from pure instrumental music in polyphonic music recordings  ...  The first approaches borrowed successful techniques widely used in Automatic Speech Recognition (ASR) as speech and singing share similar acoustical features since they are produced by the same apparatus  ...  Some of the topics MIR includes are 1 : • musical feature extraction for monophonic and polyphonic audio, • computational methods for classification, clustering, and modelling, similarity and pattern matching  ... 
doi:10.5281/zenodo.3744709 fatcat:bxl33cpakfevbeirbnq46xhtqe

A novel framework for efficient automated singer identification in large music databases

Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan
2009 ACM Transactions on Information Systems  
One such characteristic, useful in a range of applications, is the identification of the singer in a musical piece.  ...  HSI uses multiple low-level features extracted from both vocal and nonvocal music segments to enhance the identification process; it achieves this via a hybrid architecture that builds profiles of individual  ...  ACKNOWLEDGMENTS We would like to thank Professor Wei-Ho Tsai at Taipei University of Technology, for kindly sharing his dataset and codes with us. Also special thanks are due to Professor C. J.  ... 
doi:10.1145/1508850.1508856 fatcat:eyvez56zrvhinhw5vurenw4fpq
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