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Scalability, Generality And Temporal Aspects In Automatic Recognition Of Predominant Musical Instruments In Polyphonic Music

Ferdinand Fuhrmann, Martín Haro, Perfecto Herrera
2009 Zenodo  
ACKNOWLEDGEMENTS The authors want to thank Joan Serrà and Emilia Gómez for their help in improving the quality and style of this publication.  ...  CONCLUSIONS In this paper we addressed three open gaps in automatic recognition of instruments from polyphonic audio.  ...  More precisely, we miss the aspect of polyphonic scalability, i.e. a detailed research about the application of current methods for instrument recognition to highly polyphonic audio.  ... 
doi:10.5281/zenodo.1416394 fatcat:3jz7ksxtmbebdnstpr4kebxmqm

An Overview on Perceptually Motivated Audio Indexing and Classification

Gael Richard, Shiva Sundaram, Shrikanth Narayanan
2013 Proceedings of the IEEE  
In the paper, we also illustrate some of the recent trends in semantic audio retrieval that approximate higher level perceptual processing and cognitive aspects of human audio recognition capabilities  ...  In particular, we discuss several different strategies to integrate human perception including 1) the use of generic audition models, 2) the use of perceptually-relevant features for the analysis stage  ...  Another example in music is provided by [66] where musical instruments and group of instruments are organised in an hierarchical taxonomy that is automatically obtained from the training data.  ... 
doi:10.1109/jproc.2013.2251591 fatcat:myywr5bztzeezi7mity4gwnpha

Time-Delayed Melody Surfaces For Rāga Recognition

Sankalp Gulati, Joan Serrà, Kaustuv Kanti Ganguli, Sertan Sentürk, Xavier Serra
2016 Zenodo  
In general, PCD-based approaches are robust to pitch octave errors, which is one of the most frequent errors in the estimation of predominant melody from polyphonic music signals.  ...  Several approaches address this shortcoming by modeling the temporal aspects of a melody in a variety of ways [18, 21, 27] .  ... 
doi:10.5281/zenodo.1417905 fatcat:mlnqg4it7vgcpbszx7fhuyxso4

Melodic Description of Audio Signals for Music Content Processing

Emilia Gómez, Xavier Serra
2002 Zenodo  
The goal of this work is to review how melodic aspects of music are represented in computer applications, and how these representations are extracted from audio signals.  ...  We will use this description scheme to represent melodic aspects of audio in a specific application context, the Sound Palette application, a software tool for content-based analysis and transformations  ...  Acknowledgements Acknowledgments The authors would like to thank the members of the Music Technology Group for their help and support.  ... 
doi:10.5281/zenodo.3736232 fatcat:c67m2kwsffac3huwkx7y3s4gly

Drums and Bass Interlocking

Pere Calopa, Sergi Jordà, Perfecto Herrera
2016 Zenodo  
In addition, we model both temporal and interlocking context of a given corpus using Markov Chains.  ...  This thesis presents the technical and theoretical details of a generative system that considers the stylistic rhythmic interaction (interlocking) between bass and drums in the context of Electronic Dance  ...  The proposed approach use a state of the art technique for pitch contour extraction in polyphonic signals [melodia] and evaluate its performance for bassline recognition in House music.  ... 
doi:10.5281/zenodo.3755608 fatcat:7fbzvsd4mjhdtk43bglqfcwkba

Music Information Retrieval: Recent Developments and Applications

Markus Schedl, Emilia Gómez, Julián Urbano
2014 Foundations and Trends in Information Retrieval  
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying attention to latest developments, such as semantic auto-tagging and user-centric retrieval and recommendation  ...  These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification ("query by example").  ...  The authors would further like to thank Masataka Goto, Mohamed Sordo, and Edith Law for granting permission to include their visual material in this survey, and Juan J.  ... 
doi:10.1561/1500000042 fatcat:c5tjdcy3xrfqvp6isnktbr6lpy

Introduction [chapter]

2016 Music Data Analysis  
The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other.  ...  This series aims to foster the integration between the computer sciences and statistical, numerical, and probabilistic methods by publishing a broad range of reference works, textbooks, and handbooks.  ...  In this section we will discuss five aspects related to the complexity of instrument recognition.  ... 
doi:10.1201/9781315370996-5 fatcat:avooqogcpnbjngqmzuonil3exq

From Heuristics-Based To Data-Driven Audio Melody Extraction

Juan J. Bosch, Emilia Gómez
2017 Zenodo  
This task is known as "audio melody extraction", more formally defined as the automatic estimation of the pitch sequence of the melody directly from the audio signal of a polyphonic music recording.  ...  We first present an overview of the state of the art, and perform an evaluation focused on a novel symphonic music dataset.  ...  For instance, timbre features (Fuhrmann, 2012; Bosch et al., 2012a) have been used for automatic musical instrument recognition in both monophonic and polyphonic music.  ... 
doi:10.5281/zenodo.1120333 fatcat:4725nf75x5ds5glhoy3n2nfkea

COSMOS: Computational Shaping and Modeling of Musical Structures

Elaine Chew
2022 Frontiers in Psychology  
process of music performance in scalable ways.  ...  Taking the view of performance as an act of creative problem solving, ideas in citizen science and data science, optimization, and computational thinking provide means through which to deconstruct the  ...  AUTHOR CONTRIBUTIONS EC conceived, designed, wrote, revised the article, and agrees to be accountable for all aspects in ensuring that questions related to its accuracy or integrity are properly investigated  ... 
doi:10.3389/fpsyg.2022.527539 pmid:35712186 pmcid:PMC9197258 fatcat:a7tyqijh7fdlbgu726y26z7oxq

Towards Automatic Music Structural Analysis Identifying Characteristic Within-Song Excerpts in Popular Music

Bee Suan Ong, Xavier Serra
2005 Zenodo  
Automatic audio content analysis is a general research area in which algorithms are developed to allow computer systems to understand the content of digital audio signals for further exploitations.  ...  Automatic music structural analysis is a specific subset of audio content analysis in which the domain of audio content is restricted to the semantically meaningful descriptions of audio in a musical context  ...  However, for real-world polyphonic music with a complex mixture of pitches, extracting the predominant one is highly complicated and practically infeasible with current methods.  ... 
doi:10.5281/zenodo.3739314 fatcat:ptqosukiyvaxvdxr7sncrbtuhq

MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR

Perfecto Herrera Boyer, Xavier Serra, Emilia Gómez
2018 Zenodo  
In the age of feature extractors, we present work on features to describe sounds and music, especially timbre and tonal aspects.  ...  In the age of context-aware systems we report on user models for recommendation and for avatar generation, in addition to factors that influence music listening decisions.  ...  Special thank also go to Professor Paul Poletti, from the Escola Superior de Música de Catalunya for his knowledge and recommendations about scales and tuning systems in different musical traditions, and  ... 
doi:10.5281/zenodo.2278110 fatcat:uturvyw2gnfzdgtelvtxot3etq

MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR

Perfecto Herrera Boyer, Xavier Serra, Emilia Gómez
2018 Zenodo  
In the age of feature extractors, we present work on features to describe sounds and music, especially timbre and tonal aspects.  ...  In the age of context-aware systems we report on user models for recommendation and for avatar generation, in addition to factors that influence music listening decisions.  ...  Special thank also go to Professor Paul Poletti, from the Escola Superior de Música de Catalunya for his knowledge and recommendations about scales and tuning systems in different musical traditions, and  ... 
doi:10.5281/zenodo.1882316 fatcat:6yhrlcyexrgyhhwayeau2gu7f4

MULTIMODAL ANALYSIS: Informed content estimation and audio source separation [article]

Gabriel Meseguer-Brocal
2021 arXiv   pre-print
The singing voice directly connects the audio signal and the text information in a unique way, combining melody and lyrics where a linguistic dimension complements the abstraction of musical instruments  ...  This dissertation proposes the study of multimodal learning in the context of musical signals. Throughout, we focus on the interaction between audio signals and text information.  ...  Due to the relatively under-development of multimodal analysis in music and in order to tackle the different MIR tasks, we need first to address generic machine learning aspects.  ... 
arXiv:2104.13276v3 fatcat:wirjfj4iwjgfteejmeujydey7u

A Musical Wormhole [article]

Kristian Sønderlund Ross Kristensen
2016 The PhD Series of the Faculty of the Humanities  
temporal order recognition proposed by the studies mentioned here.  ...  Schematic expectation is seen as culturally generic, automatic and related to a general schema of how music in general behaves, while veridical expectation is based on the specific musical piece being  ...  " and occurring within a temporal window of a "vertical extension." • Complexity of the sounding musical manifestation -the complexity in terms of phrasing, articulation, acoustics and vertical expression  ... 
doi:10.5278/vbn.phd.hum.00056 fatcat:dvyyi4mmiza6nc5xaolfi5imlq

Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis [article]

Alexander Schindler
2020 arXiv   pre-print
In a further consequence it can be concluded that this visual information is music related and thus should be beneficial for the corresponding MIR tasks such as music genre classification or mood recognition  ...  A series of comprehensive experiments and evaluations are conducted which are focused on the extraction of visual information and its application in different MIR tasks.  ...  Music Genre Recognition: Automatic genre recognition will be extensively discussed in Chapter 2.1.4.  ... 
arXiv:2002.00251v1 fatcat:6cz6rivc3fbg7fahdsnokxfrk4
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