A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Filters
Indexing Music Collections Through Graph Spectra
2007
Zenodo
The graphs are indexed into a database using their laplacian spectra, a feature vector that reflects the original topology and graph structure to a large extent. ...
, computed using Laplacian spectra (L) Adjacency spectra (A) of the graphs. ...
doi:10.5281/zenodo.1416744
fatcat:3y5cfa66qjdm7dcqzy6qubnsxe
Music score alignment and computer accompaniment
2006
Communications of the ACM
Another way to predict spectra is to play the score through a music synthesizer and compute spectra from the resulting audio. ...
Since the input in this example has 62 pitch estimates, consider all possible paths of length 62 through through the graph. ...
doi:10.1145/1145287.1145311
fatcat:j357kmifwnfbvgzj7dg432nmhm
Interactive Audio Web Development Workflow
2014
Proceedings of the ACM International Conference on Multimedia - MM '14
ORGANIZING MODELS FOR ACCESS Collections of sounds and music are typically licensed and accessed from databases using textual descriptions for indexing. ...
Our first-pass approach to organizing and searching collections of sound models is to do so indirectly through the sounds that they generate. ...
doi:10.1145/2647868.2655064
dblp:conf/mm/Wyse14a
fatcat:unu6bwhcaje63gwxm3hiiqzqda
Eigenvector-Based Relational Motif Discovery
2010
Zenodo
For instance, one could investigate how particular mathematical entities (e.g. spectra) relate to particular musical issues (e.g. genre, authorship). ...
Score representation The natural consequence is that a music piece can be looked at like a complete graph K n . ...
doi:10.5281/zenodo.1415905
fatcat:zfv2pdupvne6xiicp56ihxiqu4
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures
[article]
2015
arXiv
pre-print
A method to automatically extract the most significant frequency patterns and their activation coefficients over time is then introduced, using nonnegative matrix factorization of the temporal spectra. ...
Spectral analysis of signals Spectral analysis is performed using standard signal processing methods: Let a collection X of C signals indexed by N vertices. ...
We proposed in [22] a comprehensive framework to transform graphs into a collection of signals, based on this work. ...
arXiv:1505.03044v1
fatcat:e5bl4qcd5bhslenn3rysarcmjy
Time-Frequency Analysis of Musical Instruments
2002
SIAM Review
Spectrograms produce a time-frequency description of a musical passage. ...
All three of these techniques will be employed in analyzing music played on a piano, a flute, and a guitar. ...
reinforce it, also through interference, when it is heard. . . . ...
doi:10.1137/s00361445003822
fatcat:s6vekmljarb43ebrnfcw5dy5mq
Extraction of Temporal Network Structures From Graph-Based Signals
2016
IEEE Transactions on Signal and Information Processing over Networks
Index Terms-temporal networks, multidimensional scaling, nonnegative matrix factorization, network structures, decomposition This is the author's version of an article that has been published in this journal ...
approach to identify structures in temporal networks by extracting the most significant frequency patterns and their activation coefficients over time, using nonnegative matrix factorization of the temporal spectra ...
Spectral analysis of signals Spectral analysis is performed using standard signal processing methods: Let a collection X of C signals indexed by N vertices. ...
doi:10.1109/tsipn.2016.2530562
fatcat:c4awfhw45nhitpk2qsadmx57o4
A Hybrid Graphical Model For Aligning Polyphonic Audio With Musical Scores
2004
Zenodo
Each score position, in beats, would then be associated with the collection of pitches that sound until the next musical event. ...
In interpreting this picture, the behavior of each variable (node in the graph) can be described given only its parents in the graph, e.g. ...
doi:10.5281/zenodo.1416499
fatcat:l7dnodkztzdbrfjssc6w5fppwy
Page 108 of Technical Book Review Index Vol. 9, Issue 6
[page]
1943
Technical Book Review Index
The numerous diagrams and graphs aid in visualizing the processes and results expressed in the text, and the many fine halftone reproductions of typical and peculiar spectra make the book useful as a reference ...
It is well indexed and has good illustrations . . . ...
Experimental study of mutual coupling compensation in smart antenna applications
2002
IEEE Transactions on Wireless Communications
Index Terms-Adaptive arrays, antenna array mutual coupling, array signal processing, direction of arrival estimation. ...
Field measurements and computer simulations are examined to explore the assumptions of the technique and verify its effect when using the Bartlett and MUSIC DOA algorithms. ...
(b) MUSIC DOA algorithm. Experimental data multiuser MUSIC spatial spectra-stationary user and mobile Position 5.
Fig. 7 . 7 Down-link beamforming spectra. (a) Stationary user. ...
doi:10.1109/twc.2002.800546
fatcat:o7u5aiv3evhd5cqxphnm4fxf4e
Tristan Murail's Tellur: A Piece of Spectral Music and an Exploration of Compositional Possibilities for the Classical Guitar
2011
Nota bene
Though not always dealing explicitly with exact graphs of different spectra, Murail focuses on the parameters of the flamenco guitar's unique sound world with an analytical ear and an appreciation for ...
The title "Spectralist" could bring to mind images of acoustic scientists peering at spectrograph read-outs of the harmonic spectra of different instruments, and then transcribing these spectra literally ...
doi:10.5206/notabene.v3i1.6561
fatcat:yl6mricwnnghziok35hzhfewle
Scale-Free Music of the Brain
2009
PLoS ONE
A variety of transferring rules has been utilized to convert the brainwaves into music; and most of them are mainly based on spectra feature of EEG. ...
There is growing interest in the relation between the brain and music. ...
All subjects provided written informed consents for the collection of samples and subsequent analysis. ...
doi:10.1371/journal.pone.0005915
pmid:19526057
pmcid:PMC2691588
fatcat:zoikgi3ilzdynimfh364d7srrm
A Discriminative Characterization of Heschl's Gyrus Morphology using Spectral Graph Features
[article]
2021
bioRxiv
pre-print
We present a method for characterizing the morphology of HG in terms of Laplacian eigenmodes of surface-based and volume-based graph representations of its structure, and derive a set of spectral graph ...
We anticipate the proposed shape features to be found beneficial in the domains of language, music and associated pathologies, in which variability of HG morphology has previously been established. ...
First, we qualitatively compare the normalized Laplacian spectra of single and CSD graphs. ...
doi:10.1101/2021.05.04.442618
fatcat:2phrf7xbwvez3oyn4v4yogiydq
Second Fiddle Is Important Too: Pitch Tracking Individual Voices In Polyphonic Music
2012
Zenodo
We use regular PLCA to build dictionaries of spectra indexed by F0 and instrument where the spectra are analyzed from recordings of individual notes of different musical instruments. ...
and i is the instrument index. ...
doi:10.5281/zenodo.1418120
fatcat:uxghmqdakfeo7iw5tzagnx6vzu
Graph based representation of the music symbolic level. A music information retrieval application
2018
Zenodo
In this work, a new music symbolic level representation system is described. ...
It has been tested in two information retrieval tasks concerning similarity between segments of music and genre detection of a given segment. ...
Definition 7: Graph of a music piece Let e be a segmentation function and A be the union of all the recursive segmentations obtained through e starting from a music piece S. ...
doi:10.5281/zenodo.1476564
fatcat:mzk7lhqao5gbte5jo6hvlhbc3a
« Previous
Showing results 1 — 15 out of 1,788 results