P. Vera Candeas
P. Vera Candeas
pveraatujaen.es

  Affiliation history
Bibliometrics: publication history
Average citations per article1.43
Citation Count30
Publication count21
Publication years2005-2017
Available for download1
Average downloads per article148.00
Downloads (cumulative)148
Downloads (12 Months)99
Downloads (6 Weeks)10
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21 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2017 The Journal of Supercomputing: Volume 73 Issue 1, January 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

The audio-to-score framework consists of two separate stages: preprocessing and alignment. The alignment is commonly solved through offline dynamic time warping (DTW), which is a method to find the path over the distortion matrix with the minimum cost to determine the relation between the performance and the musical score times. ...
Keywords: ARM, Audio-to-score alignment, Dynamic time warping (DTW), Parallel computing, Score following, Xeon Phi

2
January 2017 The Journal of Supercomputing: Volume 73 Issue 1, January 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

This work presents a software system designed to track the reproduction of a musical piece with the aim to match the score position into its symbolic representation on a digital sheet. Into this system, known as automated musical accompaniment system, the process of score alignment can be carried out real-time. ...
Keywords: Audio-to-score alignment, Parallel computing, Real-time computing, Score following, Musical accompaniment

3 published by ACM
October 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Survey Paper, Special Issue: Intelligent Music Systems and Applications and Regular Papers: Volume 8 Issue 2, January 2017
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 10,   Downloads (12 Months): 99,   Downloads (Overall): 148

Full text available: PDFPDF
In this article, we present an online score following framework designed to deal with automatic accompaniment. The proposed framework is based on spectral factorization and online Dynamic Time Warping (DTW) and has two separated stages: preprocessing and alignment. In the first one, we convert the score into a reference audio ...
Keywords: dynamic time warping (DTW), beta-divergence, non-negative matrix factorization (NMF), online algorithm, score following, tempo, Accompaniment, audio-to-score alignment, speed of interpretation

4
April 2016 Speech Communication: Volume 78 Issue C, April 2016
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Semi-supervised NMF with source/filter speech model and constrained noise parameters.Evaluated on the 3rd CHiME and SiSEC 2013 datasets for speech and noise separation.Proposed noise constraints help to improve the isolation of speech with real noises.All tested environments but one could be modeled by the constraints.Better separation results than conventional semi-supervised ...
Keywords: Non-negative matrix factorization, Speech enhancement, Speech separation, Compositional models, Audio source separation

5
March 2016 Digital Signal Processing: Volume 50 Issue C, March 2016
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 2

In this work, we propose a constrained non-negative matrix factorization method for the audio restoration of piano music using information from the score. In the first stage (instrument training), spectral patterns for the target source (piano) are learned from a dataset of isolated piano notes. The model for the piano ...
Keywords: Single-activation, Sound source separation, Non-negative matrix factorization (NMF), Audio restoration, Score-based activation, Training

6
December 2014 EURASIP Journal on Audio, Speech, and Music Processing: Volume 2014 Issue 1, December 2014
Publisher: Hindawi Limited
Bibliometrics:
Citation Count: 2

In this paper, unsupervised learning is used to separate percussive and harmonic sounds from monaural non-vocal polyphonic signals. Our algorithm is based on a modified non-negative matrix factorization (NMF) procedure that no labeled data is required to distinguish between percussive and harmonic bases because information from percussive and harmonic sounds ...

7
September 2014 Multimedia Tools and Applications: Volume 72 Issue 1, September 2014
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

In this paper we propose a monophonic constrained signal decomposition model applied to polyphonic signals composed of several monophonic sources from different musical instruments. The harmonic constraint is particularly effective for tonal instruments because each note is associated with a unique basis. The monophonic constraint is implemented by enforcing single-non-zero ...
Keywords: Monophony, Music transcription, Sparsity, Sparse representations, Spectral analysis, Harmonicity, Non-negative matrix factorization (NMF), Non-negative sparse coding (NNSC), Source separation

8
March 2012 LVA/ICA'12: Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

This work makes use of instrument-dependent models to separate the different sources of multiple instrument mixtures. Three different models are applied: (a) basic spectral model with harmonic constraint, (b) source-filter model with harmonic-comb excitation and (c) source-filter model with multi-excitation per instrument. The parameters of the models are optimized by ...
Keywords: excitation modeling, source-filter model, non-negative matrix factorization (NMF), music source separation, spectral analysis

9
August 2011 Multimedia Tools and Applications: Volume 54 Issue 2, August 2011
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

Digital hearing aids impose strong complexity and memory constraints on digital signal processing algorithms that implement different applications. This paper proposes a low complexity approach for automatic sound classification in digital hearing aids. The proposed scheme, which operates on a frame-by-frame basis, consists of two stages: analysis stage and classification ...
Keywords: Automatic sound classification, Difference function, Digital hearing aids, Hidden Markov model, Fundamental frequency estimation, Multilayer perceptron

10
March 2010 IEEE Transactions on Audio, Speech, and Language Processing: Volume 18 Issue 3, March 2010
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Harmonic decompositions are a powerful tool dealing with polyphonic music signals in some potential applications such as music visualization, music transcription and instrument recognition. The usefulness of a harmonic decomposition relies on the design of a proper harmonic dictionary. Music scene-adaptive harmonic atoms have been used with this purpose. These ...
Keywords: automatic music transcription, music visualization, sparse decomposition, Matching pursuits, harmonic atom, spectral envelope

11
March 2010 IEEE Transactions on Audio, Speech, and Language Processing: Volume 18 Issue 3, March 2010
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

Harmonic decompositions are a powerful tool dealing with polyphonic music signals in some potential applications such as music visualization, music transcription and instrument recognition. The usefulness of a harmonic decomposition relies on the design of a proper harmonic dictionary. Music scene-adaptive harmonic atoms have been used with this purpose. These ...
Keywords: harmonic atom, matching pursuits, spectral envelope, automatic music transcription, music visualization, sparse decomposition

12
March 2010 Engineering Applications of Artificial Intelligence: Volume 23 Issue 2, March, 2010
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 4

Automatic discrimination of speech and music is an important tool in many multimedia applications. The paper presents a robust and effective approach for speech/music discrimination, which relies on a two-stage cascaded classification scheme. The cascaded classification scheme is composed of a statistical pattern recognition classifier followed by a genetic fuzzy ...
Keywords: Genetic learning, Multimedia, Speech/music discrimination, Classifier, Fuzzy rules-based system, Statistical pattern recognition, Evolutionary computation, Signal features

13
January 2010 Digital Signal Processing: Volume 20 Issue 1, January, 2010
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

In this paper we intend to optimize a wavelet-based dictionary for transient modeling with application to parametric audio coding. Transient modeling is performed by matching pursuit with an overcomplete dictionary composed of orthonormal wavelet functions that implement a wavelet-packet filter bank. We try to find the prototype filter length, the ...
Keywords: Parametric audio coding, Transient modeling, Matching pursuit, Complex exponentials, Overcomplete dictionary, Wavelets

14
March 2009 Digital Signal Processing: Volume 19 Issue 2, March, 2009
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

In this paper we propose an improved sinusoidal modeling method based on perceptual matching pursuits computed in the bark scale for parametric audio coding applications. Complex exponentials compose the overcomplete dictionary for matching pursuits. The main contribution is the minimization of a perceptual distortion measure defined in the bark scale ...
Keywords: Sinusoidal modeling, Bark scale, Parametric audio coding, Psychoacoustics, Matching pursuit, Complex exponentials, Overcomplete dictionary

15
January 2009 Multimedia Tools and Applications: Volume 41 Issue 2, January 2009
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

Automatic discrimination of speech and music is an important tool in many multimedia applications. The paper presents a robust and effective approach for speech/music discrimination, which relies on a set of features derived from fundamental frequency (F0) estimation. Comparison between the proposed set of features and some commonly used timbral ...
Keywords: Fundamental frequency estimation, Fuzzy systems, Pattern recognition, Pitch, Signal features, Multimedia, Speech/music discrimination

16
September 2007 Engineering Applications of Artificial Intelligence: Volume 20 Issue 6, September, 2007
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 9

Automatic discrimination of speech and music is an important tool in many multimedia applications. The paper presents an effective approach based on an adaptive network-based fuzzy inference system (ANFIS) for the classification stage required in a speech/music discrimination system. A new simple feature, called warped LPC-based spectral centroid (WLPC-SC), is ...
Keywords: ANFIS, LDA, MFCC, Signal features, Audio classification, Neural networks, Speech/music discrimination, Pattern recognition, Warping transformation

17
June 2007 IbPRIA '07: Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Automatic Speech/Music Discrimination (SMD) has become a research topic of interest in the last years. This paper present a new approach for such goal, which is mainly based on a distributed expert system that incorporates fuzzy rules into its knowledge base. The proposed SMD scheme consists of two stages: 1) ...

18
May 2007 Signal Processing: Volume 87 Issue 5, May, 2007
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 0


19
May 2006 Signal Processing: Volume 86 Issue 5, May 2006
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 0

This article has been retracted at the request of the Editor-in-Chief and Publisher. Please see http://www.elsevier.com/locate/withdrawalpolicy. Reason: This article is virtually identical to the previously published article: ''New matching pursuit-based algorithm for SNR improvement in ultrasonic NDT'', Independent Nondestructive Testing and Evaluation International, volume 38 (2005) 453-458 authored by N. ...

20
March 2006 Signal Processing - Sparse approximations in signal and image processing: Volume 86 Issue 3, March 2006
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 1

This paper deals with the application of adaptive signal models for representing transients and sinusoids at the same stage in a parametric audio coder. To accomplish such a goal, we search for sparse approximations by means of matching pursuit with a mixed dictionary, instead of using two different dictionaries that ...
Keywords: parametric audio coding, wavelet packets, overcomplete dictionary, sparse approximation, complex exponentials, matching pursuit



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