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Feature learning and deep architectures: new directions for music informatics

Eric J. Humphrey, Juan P. Bello, Yann LeCun
2013 Journal of Intelligent Information Systems  
As we look to advance the state of the art in content-based music informatics, there is a general sense that progress is decelerating throughout the field.  ...  for this paradigm shift.  ...  Lower level behaviors are encoded in mid-level feature maps, which can be again combined with other mid-level features and encoded at the next level, and so on up the hierarchy.  ... 
doi:10.1007/s10844-013-0248-5 fatcat:m6n4kfas7nbtvk6cja6hbgzihq

From Heuristics-Based To Data-Driven Audio Melody Extraction

Juan J. Bosch, Emilia Gómez
2017 Zenodo  
We then propose melody extraction methods based on a source-filter model and pitch contour characterisation and evaluate them on a wide range of music genres.  ...  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.  ...  Pitch contour characterisation Pitch contours have been a useful mid-level pitch representation for several tasks that involve the computation of pitch related information.  ... 
doi:10.5281/zenodo.1120333 fatcat:4725nf75x5ds5glhoy3n2nfkea

Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features

Michael A. Casey
2017 Frontiers in Psychology  
music information in relative-pitch representations.  ...  These maps provide evidence in support of our hypothesis that geometric properties of music cognition are neurally encoded as multivoxel representational spaces.  ...  Multidimensional Representations in Music Cognition and Music Informatics Results of music cognition research show that multidimensional geometries are implicated in the encoding of musical attributes  ... 
doi:10.3389/fpsyg.2017.01179 pmid:28769835 pmcid:PMC5509941 fatcat:p6pxuejglnanllz2tzzrfldeyu

Auditory Expectation: The Information Dynamics of Music Perception and Cognition

Marcus T. Pearce, Geraint A. Wiggins
2012 Topics in Cognitive Science  
a broad range of human faculties, in music and beyond.  ...  We summarize a range of evidence for this approach, from psychology, neuroscience, musicology, linguistics, and creativity studies, and argue that simulating expectation is an important part of understanding  ...  Third, except for Hiller and Fuller (1967) , the music representations were exclusively simple representations of pitch (Cohen, 1962) , ignoring other musical dimensions.  ... 
doi:10.1111/j.1756-8765.2012.01214.x pmid:22847872 fatcat:7cs5axhxijawji44fwatvbakia

16th International Symposium on Sound Engineering and Tonmeistering Warszawa, Poland, October 8 – 10, 2015

2016 Archives of Acoustics  
As a result, a map of songs is created, where music excerpts with similar mood are organized next to each other on the two-dimensional graphical representation.  ...  Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland In popular music performance there is a common practice to change music parameters like timbre, tempo or pitch in real time.  ... 
doi:10.1515/aoa-2016-0017 fatcat:vw42fldesvfxphsrmzepjhwkxq

A comparison of several computational auditory scene analysis (CASA) techniques for monaural speech segregation

Jihen Zeremdini, Mohamed Anouar Ben Messaoud, Aicha Bouzid
2015 Brain Informatics  
The problem of the composed speech segregation is still a very challenging problem for these researchers.  ...  Humans have the ability to easily separate a composed speech and to form perceptual representations of the constituent sources in an acoustic mixture thanks to their ears.  ...  Indeed, it provides an efficient auditory representation mid-level between the auditory periphery and segregation.  ... 
doi:10.1007/s40708-015-0016-0 pmid:27747504 pmcid:PMC4883138 fatcat:utxd77wbtfdu5lwdjtcd3x757u

Perception and Modeling of Affective Qualities of Musical Instrument Sounds across Pitch Registers

Stephen McAdams, Chelsea Douglas, Naresh N. Vempala
2017 Frontiers in Psychology  
Of interest to both music psychology and music informatics from a computational point of view is the relation between the acoustic properties that give rise to the timbre at a given pitch and the perceived  ...  playing techniques for standard orchestral instruments drawn from the brass, woodwind, string, and pitched percussion families.  ...  Smith for technical advice and help with preparation of the stimuli.  ... 
doi:10.3389/fpsyg.2017.00153 pmid:28228741 pmcid:PMC5296353 fatcat:7a7td5bzkzalfhcswvbds3lxgu

The Greek Music Dataset

Dimos Makris, Ioannis Karydis, Spyros Sioutas
2015 Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS) - EANN '15  
to mood & genre styles of music, generic objective metadata, a manually selected MIDI file (available for 500 of the tracks) and a manually selected link to a performance / audio content in YouTube for  ...  This work presents the Greek Music Dataset (GMD), a collection of musical information pertaining to Greek musical pieces.  ...  music representations, specifically MIDI files, as well as for iteratively developing and sharing new features.  ... 
doi:10.1145/2797143.2797175 dblp:conf/eann/MakrisKS15 fatcat:daggu7wiojemrouazg722hofiy

Music Information Retrieval: Recent Developments and Applications

Markus Schedl, Emilia Gómez, Julián Urbano
2014 Foundations and Trends in Information Retrieval  
These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification ("query by example").  ...  We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative  ...  Acknowledgements This work is supported by the Austrian Science Fund (FWF): P22856 and P25655, as well as by the European Union Seventh Framework Programme FP7 / 2007-2013 through the PHENICX project under  ... 
doi:10.1561/1500000042 fatcat:c5tjdcy3xrfqvp6isnktbr6lpy

Singing Voice Detection: A Survey

Ramy Monir, Daniel Kostrzewa, Dariusz Mrozek
2022 Entropy  
It illustrates a comparison between existing methods for singing voice detection, mainly based on the Jamendo and RWC datasets.  ...  This paper presents a survey on the techniques of singing voice detection with a deep focus on state-of-the-art algorithms such as convolutional LSTM and GRU-RNN.  ...  Audio features can be categorized into three levels of abstraction: low-level such as spectral centroid, spectral flux, energy, zero-crossing rate; mid-level such as MFCCs; and high-level audio features  ... 
doi:10.3390/e24010114 pmid:35052140 pmcid:PMC8775013 fatcat:nt3wnmf4e5anxiiinkpvuqxwfq

Bridging Chasms In Hindustani Music Retrieval

Joe Cheri Ross, Preeti Rao, Pushpak Bhattacharyya
2018 Zenodo  
This research is motivated by the importance of a music recommendation system for Hindustani music.  ...  The task of raga similarity detection is investigated with both text and music content (available as music notation). Melodic motifs form essential building blocks in Indian Classical music.  ...  On a very high level, music can be defined as sound organized in a time scale for favourable listening experience expressed vocally and through instruments.  ... 
doi:10.5281/zenodo.1237568 fatcat:mrshrvhbcbb2lf4n7gys6e6plq

Bridging Chasms In Hindustani Music Retrieval

Joe Cheri Ross, Preeti Rao, Pushpak Bhattacharyya
2018 Zenodo  
This research is motivated by the importance of a music recommendation system for Hindustani music.  ...  The task of raga similarity detection is investigated with both text and music content (available as music notation). Melodic motifs form essential building blocks in Indian Classical music.  ...  On a very high level, music can be defined as sound organized in a time scale for favourable listening experience expressed vocally and through instruments.  ... 
doi:10.5281/zenodo.1239418 fatcat:uix3v2agqrajtcdrn5wm74tnq4

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)  
problem in the field of Music Information Retrieval intra-recording discovery of melodic patterns based on pitch (MIR) because the extracted patterns can serve as the basis for contours.  ...  Our study focused on flamenco music genre of “Fandangos”, for which state-of-the-art pitch extraction algo- [9] M. Müller and F.  ... 
doi:10.1109/eusipco.2015.7362341 dblp:conf/eusipco/KroherPMD15 fatcat:favzsevgujb2xdjhc6xtx5hkqm

Issues on Modeling the Singing Voice

Alex Loscos, Xavier Serra
2003 Zenodo  
This set of gathered publications are mainly focused on the field of singing voice processing; more precisely, on spectral processing techniques and voice modeling for singing voice analysis, transformation  ...  Thanks as well to all the people from Yamaha Corp. I have worked with.  ...  Acknowledgements We would like to acknowledge the contribution to this research of the other members of the Music Technology Group of the Audiovisual Institute.  ... 
doi:10.5281/zenodo.3739254 fatcat:jczy57vmfbbbbg2rrnnswiykvu

Analyzing sound tracings

Kristian Nymoen, Baptiste Caramiaux, Mariusz Kozak, Jim Torresen
2011 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies - MIRUM '11  
A toolbox for storing and streaming music-related data is presented.  ...  For instance, musical sound is often the result of body motion in the form of sound-producing actions, and muscial sound may lead to body motion such as dance.  ...  Layer 2: Low-level features. Statistical measures, signal processing. Layer 3: Mid-level features. Segmented units, musical phrases, trajectories Layer 4: High-level features.  ... 
doi:10.1145/2072529.2072541 dblp:conf/mm/NymoenCKT11 fatcat:dey4sbskxvhbfhned4vlmei76e
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