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Automatic Sample Detection In Polyphonic Music

Siddharth Gururani, Alexander Lerch
2017 Zenodo  
"Automatic Sample Detection in Polyphonic Music", 18th International Society for Music Information Retrieval Conference, Suzhou, China, 2017.  ...  Sample Detection with Non-negative Matrix Factorization Dittmar et al. listed sampling as one of three kinds of plagiarism in music [7] .  ... 
doi:10.5281/zenodo.1418331 fatcat:pmlxkgqssfcihowmek2hwgo2ea

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  
Instrument recognition in computer music is an important research area that deals with sound modelling.  ...  Monophonic and polyphonic recordings of musical instruments can be identified using this method.  ...  The algorithm's accuracy was determined by comparing manually detected and automatically detected sound samples. Sang Hyun Park et al.  ... 
doi:10.51201/jusst/21/11969 fatcat:vwypamasxfblrif4642mzer3ce

Synthesized Polyphonic Music Database With Verifiable Ground Truth For Multiple F0 Estimation

Chunghsin Yeh, Niels Bogaards, Axel Röbel
2007 Zenodo  
Therefore, we believe that ground truth should be derived by means of an automatic procedure from the isolated clean notes of the polyphonic music.  ...  There are mainly three types of polyphonic signals used as evaluation corpus: mixtures of monophonic samples, synthesized polyphonic music and real recordings.  ... 
doi:10.5281/zenodo.1415731 fatcat:vayaoyxw65e4djhldv357qppma

Melody Extraction from Polyphonic Music Signal using STFT and Fanchirp Transform

Sridevi S. H., S. R. Gulhane
2015 International Journal of Engineering Research and  
In this paper the melody is extracted from polyphonic music signal by using Short Time Fourier Transform and Fan Chirp Transform.  ...  The term melody is a musicological concept based on the judgment of human listener's .Melody extraction from polyphonic music is a difficult task in music information retrieval.  ...  Thus a single representation based on all the samples of a polyphonic music signal, for the most part, has no meaning.  ... 
doi:10.17577/ijertv4is060928 fatcat:llblnxu5bzeetcatjibwmz5i5y

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.  ...  For Western music, lots of work have been reported for automated drum analysis of polyphonic composition.  ...  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

Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match [chapter]

Wenxin Jiang, Alicja Wieczorkowska, Zbigniew W. Raś
2009 Studies in Computational Intelligence  
This is a non-trivial task requiring sound analysis, but the results can aid automatic indexing and browsing music data when searching for melodies played by user specified instruments.  ...  The experiments on polyphonic (polytimbral) recordings and results discussed in this paper allow us to draw conclusions regarding the directions of further experiments on this subject, which can be of  ...  Sub-Pattern of Single Instrument in the Mixture Sound Segment In order to index the polyphonic sound, we need to detect the instrument information in each small slice of music sound.  ... 
doi:10.1007/978-3-642-01533-5_10 fatcat:vvz6g67hbjc27girmb6xg57mpq

Pitch Detection in Polyphonic Music using Instrument Tone Models

Yipeng Li, DeLiang Wang
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
We propose a hidden Markov model (HMM) based system to detect the pitch of an instrument in polyphonic music using an instrument tone model.  ...  The transition probability between successive pitch points is constructed using the prior knowledge of the musical key of the input.  ...  This research was supported in part by an AFOSR grant (F49620-04-1-0027) and an NSF grant (IIS-0534707).  ... 
doi:10.1109/icassp.2007.366277 dblp:conf/icassp/LiW07 fatcat:jbk3ulny3ncinoequi4g4phzgq

Extract fundamental frequency based on CNN combined with PYIN [article]

Ruowei Xing, Shengchen Li
2022 arXiv   pre-print
The result shows the combined model outperforms the original algorithms when extracting F0 from monophonic music and polyphonic music.  ...  The implementation of these two algorithms and their corresponding advantages and disadvantages are discussed in this article.  ...  Method In the F0 tracking of the monophonic part of the music, PYIN is much better than other Multi-F0 tracking methods because it only focuses on detecting one F0 value.  ... 
arXiv:2208.08354v1 fatcat:u4ppvmzfe5hnja64x5iovcfinu

A Polyphonic Pitch Tracking Embedded System For Rapid Instrument Augmentation

Rodrigo Schramm, Federico Visi, André Brasil, Marcelo O Johann
2018 Zenodo  
The core of the system implements real-time spectrum factorisation, decomposing polyphonic audio input signals into music note activations.  ...  Instrument augmentation is achieved by replacing or mixing the instrument's original sounds with a large variety of synthetic or sampled sounds, which follow the polyphonic pitch activations.  ...  Pre-learned templates have been explored in the Music Information Retrieval (MIR) field for the task of automatic music transcription based on spectrogram factorisation.  ... 
doi:10.5281/zenodo.1302650 fatcat:7za3kzvrajcb7jvqnxeinycem4

Automatic transcription of pitched and unpitched sounds from polyphonic music

Emmanouil Benetos, Sebastian Ewert, Tillman Weyde
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Automatic transcription of polyphonic music has been an active research field for several years and is considered by many to be a key enabling technology in music signal processing.  ...  Our experiments based on polyphonic Western music containing both pitched and unpitched instruments led to very encouraging results in multi-pitch detection and drum transcription tasks.  ...  PROPOSED METHOD In the following, we describe a method for the automatic transcription of both pitched and unpitched sounds from polyphonic Western music.  ... 
doi:10.1109/icassp.2014.6854172 dblp:conf/icassp/BenetosEW14 fatcat:d2m3iwf6qzdndg2jhwzpozv45y

Automatic real-time electric guitar audio transcription

Xander Fiss, Andres Kwasinski
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Automatic transcription remains a challenge with polyphonic sounds as those generated by a guitar.  ...  On the other hand, the guitar offers the potential to constrain the polyphonic pitch detection problem because it has few strings and the fingering is usually performed by a single hand.  ...  A key operation in guitar transcription is polyphonic pitch detection.  ... 
doi:10.1109/icassp.2011.5946418 dblp:conf/icassp/FissK11 fatcat:xkcx6j2jjjhwbkzboubkeww54q

Automatic Music Transcription Supporting Different Instruments

Ivan Bruno, Paolo Nesi
2005 Journal of New Music Research  
Automatic music recognition from an audio performance is a key problem and a challenge for coding music in western music notation in the digital world.  ...  The development of a system for the automatic music transcription that is able to cope with different music instruments is the aim of this paper.  ...  In this paper, an algorithm and a model for automatic transcription of music are described.  ... 
doi:10.1080/09298210500148652 fatcat:rqqxuvadznchjc2dcrvfeg7m5m

Drum transcription using partially fixed non-negative matrix factorization

Chih-Wei Wu, Alexander Lerch
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
The harmonic part is able to adapt to the music content, allowing the algorithm to work in polyphonic mixtures.  ...  The recognition rates for the ENST dataset vary from 56.7 to 78.9% for three percussive instruments extracted from polyphonic music.  ...  INTRODUCTION Automatic music transcription is an intensively researched area in Music Information Retrieval (MIR).  ... 
doi:10.1109/eusipco.2015.7362590 dblp:conf/eusipco/WuL15 fatcat:kootilauzbcgjfx2e4hhivb2ai

On Drum Playing Technique Detection In Polyphonic Mixtures

Chih-Wei Wu, Alexander Lerch
2016 Zenodo  
Third, the current dataset offers only a limited number of samples for the evaluation of playing technique detection in polyphonic mixtures of music.  ...  CONCLUSION In this paper, a system for drum playing technique detection in polyphonic mixtures of music has been presented.  ... 
doi:10.5281/zenodo.1416680 fatcat:3o6dhfw4eve67o6vmxngeqb6ya

Improving instrument recognition in polyphonic music through system integration

Dimitrios Giannoulis, Emmanouil Benetos, Anssi Klapuri, Mark D. Plumbley
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
A method is proposed for instrument recognition in polyphonic music which combines two independent detector systems.  ...  A polyphonic musical instrument recognition system using a missing feature approach and an automatic music transcription system based on shift invariant probabilistic latent component analysis that includes  ...  CONCLUSIONS In this work, we proposed a system for instrument recognition in polyphonic music which combines two detectors, namely an automatic music transcription system which supports instrument assignment  ... 
doi:10.1109/icassp.2014.6854599 dblp:conf/icassp/GiannoulisBKP14 fatcat:vlw24bbcabcjxorle4ltoaew2e
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