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Automatic Identification Of Instrument Classes In Polyphonic And Poly-Instrument Audio

Philippe Hamel, Sean Wood, Douglas Eck
2009 Zenodo  
The task of instrument class recognition in poly-instrument audio is a multi-label classification task, i.e. each instrument class may be present or not, and the classifier is unaware of how many classes  ...  In this study, we avoided harmonic features that rely on the identification of a single fundamental frequencey for a frame of audio because this is ill-defined in the polyphonic case.  ... 
doi:10.5281/zenodo.1415091 fatcat:igox7gpgavf7ho4t5sskfztau4

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.  ...  According to the results of the experiments, GMM outperforms SVM in monophonic recordings by a factor of 96.33 and polyphonic recordings by a factor of 93.33.  ...  Using such identification system we can directly categorize or search in musical audio database without need of descriptive data included in audio signal.  ... 
doi:10.51201/jusst/21/11969 fatcat:vwypamasxfblrif4642mzer3ce

Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors

Nadine Kroher, Emilia Gómez
2014 Proceedings of the SMC Conferences  
Acknowledgments This research has been partly funded by the Agencia de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) / Generalitat de Catalunya / 2013-AAD-01874 and the Spanish Ministry of Economy  ...  and Competitiveness (SIGMUS project, Subprograma de Proyectos de Investigacin Fundamental no Orientada, TIN2012-36650).  ...  Automatic singer identification is a complex task specially for low-quality recordings or the presence of instrumental accompaniment.  ... 
doi:10.5281/zenodo.850798 fatcat:a2hwj5oulnby7nxyio7a6c575i

A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation [article]

Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert
2022 arXiv   pre-print
In this paper, we propose a lightweight neural network for musical instrument transcription, which supports polyphonic outputs and generalizes to a wide variety of instruments (including vocals).  ...  Automatic Music Transcription (AMT) has been recognized as a key enabling technology with a wide range of applications.  ...  In order to assess how well NMP and the baseline perform across different instrument classes, we use a wide variety of training and test data spanning multiple instrument types, summarized in Table 1  ... 
arXiv:2203.09893v2 fatcat:dqsqaqdmubhy5cwtz765yyv35y

Attention-Based Predominant Instruments Recognition in Polyphonic Music

Lekshmi Reghunath, Rajeev Rajan
2021 Zenodo  
Predominant instrument recognition in polyphonic music is addressed using the score-level fusion of two visual representations, namely, Mel-spectrogram and modgdgram.  ...  We train the network using fixed-length singlelabeled audio excerpts and estimate the predominant instruments from variable-length audio recordings.  ...  Acknowledgments The first author would like to acknowledge the CERD of APJ Abdul Kalam Technological University, Trivandrum, Kerala, India for providing a Ph.D. fellowship.  ... 
doi:10.5281/zenodo.5043841 fatcat:ko7bji5dpjavre3vmwqsv2pqnu

Automatic Recognition of Lyrics in Singing

Annamaria Mesaros, Tuomas Virtanen
2010 EURASIP Journal on Audio, Speech, and Music Processing  
The system is targeted to both monophonic singing and singing in polyphonic music. A vocal separation algorithm is applied to separate the singing from polyphonic music.  ...  The recognizer is used to align textual lyrics to vocals in polyphonic music, obtaining an average error of 0.94 seconds for line-level alignment.  ...  Acknowledgment This research has been funded by the Academy of Finland.  ... 
doi:10.1155/2010/546047 fatcat:64uir6egxzgkjhdnc3gwn4qnbe

Automatic Recognition of Lyrics in Singing

Annamaria Mesaros, Tuomas Virtanen
2010 EURASIP Journal on Audio, Speech, and Music Processing  
The system is targeted to both monophonic singing and singing in polyphonic music. A vocal separation algorithm is applied to separate the singing from polyphonic music.  ...  The recognizer is used to align textual lyrics to vocals in polyphonic music, obtaining an average error of 0.94 seconds for line-level alignment.  ...  Acknowledgment This research has been funded by the Academy of Finland.  ... 
doi:10.1186/1687-4722-2010-546047 fatcat:lksnvnccivd7ziqyoe3ld2u5lm

Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds [article]

Xuan Shi, Erica Cooper, Junichi Yamagishi
2021 arXiv   pre-print
in the embeddings of unseen instruments.  ...  Experiments on the NSynth and RWC datasets show our model's effectiveness in terms of equal error rate (EER) for unseen instruments, and ablation studies show the importance of data augmentation and the  ...  Fuhrmann, “Automatic musical instrument recognition from poly- of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, 2019, phonic music audio signals,” Ph.D. dissertation, Universitat  ... 
arXiv:2107.11506v2 fatcat:3gydtlmvsjewdjnn6wmg4btahi

Audio Data Augmentation With Respect To Musical Instrument Recognition

Siddharth Bhardwaj
2017 Zenodo  
Also, we study the influence of each type of audio augmentation on each instrument class individually.  ...  Identifying musical instruments in a polyphonic music recording is a difficult yet crucial problem in music information retrieval.  ...  But for automatic algorithms to recognize the instruments from a polyphonic audio signal is still a challenging task.  ... 
doi:10.5281/zenodo.1066137 fatcat:6jzzmnlv2rfkxnecjtgsw34ngq

Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings

Nadine Kroher, Emilia Gomez
2016 IEEE/ACM Transactions on Audio Speech and Language Processing  
Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval.  ...  In this study, we explore the limitations of existing state of the art transcription systems for the case of flamenco singing and propose a specific solution for this genre: We first extract the predominant  ...  ACKNOWLEDGMENT This research was funded by the PhD fellowship of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra and the projects SIGMUS (TIN2012-36650) and  ... 
doi:10.1109/taslp.2016.2531284 fatcat:v5qmzkfbcncjhbjm6gdjrqcnga

Musical Instrument Recognition In Multi-Instrument Audio Contexts

Venkatesh Shenoy Kadandale, Frederic Font
2018 Zenodo  
Automatic musical instrument recognition is an important aspect of machine listening. In this project, we deal with instrument recognition in the multi-instrument audio contexts.  ...  With the shortlisted set of analysis parameters and the best combination strategy, we achieve an improvement of 14.25% in the macro f-score and 24.17% in the exact match ratio with respect to the baseline  ...  Asterisks indicate works which include percussive instruments in the recognition process. polyphonic density (Poly.), number of categories (Cat.), type of data used (Type), the name of the data collection  ... 
doi:10.5281/zenodo.1468051 fatcat:feovydtqzjb33hvbht5wbfakxi

Four Decades of Music Research, Creation, and Education at Padua's Centro di Sonologia Computazionale

Sergio Canazza, Giovanni De Poli
2020 Computer Music Journal  
This article describes the scientific and musical research activities of the center and of the composers and members who worked in association with it in its first four decades.  ...  Research in computer music at the University of Padua, Italy, began in the early 1970s and was formalized in 1979 by establishing the Centro di Sonologia Computazionale (CSC).  ...  Acknowledgments This article is affectionately dedicated to the memory of Giovanni Battista Debiasi: a leading researcher and an outstanding teacher whose brightness and kindness the authors will always  ... 
doi:10.1162/comj_a_00537 fatcat:yqdzimsz3rcuvmbxrvtjecbro4

Statistical Analysis of Musical Instruments [chapter]

Namunu Chinthaka Maddage, Changsheng Xu, Chin-Hui Lee, Mohan Kankanhalli, Qi Tian
2002 Lecture Notes in Computer Science  
One important field in the research of computer music concerns the modeling of sounds.  ...  In order to design digital models mirroring as closely as possible a real sound and permitting in addition transformation by altering the synthesis parameters.  ...  A subtask of this, automatic musical instruments identification is of significant importance in solving these problems and is likely to provide useful information also in the sound source identification  ... 
doi:10.1007/3-540-36228-2_72 fatcat:a4qmphrcw5erbjks4wtwtet2ky

Functional Scaffolding for Composing Additional Musical Voices

Amy K. Hoover, Paul A. Szerlip, Kenneth O. Stanley
2014 Computer Music Journal  
This representation, called functional scaffolding for musical composition (FSMC), exploits a simple yet powerful property of multipart compositions: The pattern of notes and rhythms in different instrumental  ...  In contrast, this article presents a new musical representation that contains almost no built-in knowledge, but that allows even musically untrained users to generate polyphonic textures that are derived  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1162/comj_a_00269 fatcat:zb7efhka7nffbeayjevvhb4rfq

Operating Sound Parameters Using Markov Model and Bayesian Filters in Automated Music Performance

Fumito Hashimoto, Motoki Miura
2014 New Interfaces for Musical Expression  
In recent years, there has been an increase in the number of artists who make use of automated music performances in their music and live concerts.  ...  In this paper, we focus on the music production aspects and describe a method that realizes operation of the sound parameters via computer.  ...  For identifying instruments, Hamel and Eck showed and compare several models for automatic identification of instrument classes in polyphonic and poly-instrument audio [5] .  ... 
dblp:conf/nime/HashimotoM14 fatcat:3jft5bkehbf2hgbv76rrplngwi
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