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Harmonics Based Representation in Clarinet Tone Quality Evaluation [article]

Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan
2020 arXiv   pre-print
In this paper we present a new method for identifying the clarinet reed quality by evaluating tone quality based on the harmonic structure and energy distribution.  ...  We first decouple the quality of reed and clarinet pipe based on the acoustic harmonics, and discover that the reed quality is strongly relevant to the even parts of the harmonics.  ...  Thus, the tone quality representation is based on two key parts: the harmonic structure and harmonic energy distribution.  ... 
arXiv:2003.00414v1 fatcat:vjszfja6cndjxb2sojrdbi7npm

Consonance Preferences Within an Unconventional Tuning System

Ronald S. Friedman, Douglas A. Kowalewski, Dominique T. Vuvan, W. Trammell Neill
2021 Music Perception  
We also assessed whether the association between harmonicity and consonance was moderated by timbre by presenting chords generated from either piano or clarinet samples.  ...  variance in consonance judgments.  ...  Author Note We are grateful to Carly Feldstein, Faith Gaillard, Anthony Leva, and Ryley Scott for their assistance in running these experiments and to Daniel Bowling for his invaluable comments and suggestions  ... 
doi:10.1525/mp.2021.38.3.313 fatcat:qxmqvurphfb2vfakhfraofnrdm

Multiscale Fractal Analysis of Musical Instrument Signals With Application to Recognition

A. Zlatintsi, P. Maragos
2013 IEEE Transactions on Audio, Speech, and Language Processing  
for their automatic computer-based recognition.  ...  The method and features proposed in this paper appear to be promising for music signal analysis, due to their capability for multiscale analysis of the signals and their applicability in recognition, as  ...  Experiments on real instrument recordings [21] also favored the MFCCs over harmonic representations.  ... 
doi:10.1109/tasl.2012.2231073 fatcat:rk7wi4337bczdpcirnkwohxvtu

Musical instrument identification: A pattern‐recognition approach

Keith D. Martin, Youngmoo E. Kim
1998 Journal of the Acoustical Society of America  
Using 70%/30% splits between training and test data, maximum a posteriori classifiers were constructed based on Gaussian models arrived at through Fisher multiplediscriminant analysis.  ...  The classifiers distinguished transient from continuant tones with approximately 99% correct performance.  ...  The relative rates of energy buildup in the harmonic partials are a salient feature of some instrument tones; Luce (1963) , for example, noted that the high partials in brass tones rise in energy more  ... 
doi:10.1121/1.424083 fatcat:3squn7jiyngofgmgvkaz3kec7m

Warped Low-Order Modeling Of Musical Tones

Rémi Mignot, Heidi-Maria Lehtonen, Vesa Välimäki
2013 Proceedings of the SMC Conferences  
The authors wish to thank Marko Takanen for his help in the statistical analysis.  ...  Tones from four musical instruments were included in the test: a clarinet tone, a flute tone, a saxophone tone, and a trombone tone.  ...  The quality of the filter models as a function of λ is perceptually evaluated using listening tests.  ... 
doi:10.5281/zenodo.850436 fatcat:4alcyien6jhnhni5r5gulvupyi

Application Of Missing Feature Theory To The Recognition Of Musical Instruments In Polyphonic Audio

Jana Eggink, Guy J. Brown
2003 Zenodo  
Aside from providing a good evaluation method for the missing features approach, noise robustness may be relevant in cases where low quality recordings are transcribed, such as live performances or old  ...  In an earlier publication (Eggink and Brown, 2003) , we presented an iterative pattern matching approach based on 'harmonic sieves'.  ... 
doi:10.5281/zenodo.1416261 fatcat:s7iibaaknjabhg6ta57zsfr4cy

Sparse Music Representation With Source-Specific Dictionaries and Its Application to Signal Separation

Namgook Cho, C.-C. Jay Kuo
2011 IEEE Transactions on Audio, Speech, and Language Processing  
The number of atoms needed to represent music signals using the source-specific dictionary is much less than that of the Gabor dictionary, resulting in a sparse music representation.  ...  There are three steps in the construction of a source-specific dictionary.  ...  To evaluate the ability of the proposed representation technique in capturing inherent harmonic structures of real music sounds, a solo clarinet audio signal and a polyphonic piano sound were approximated  ... 
doi:10.1109/tasl.2010.2047810 fatcat:rowrslsx3bd6jjkgc2vucn6tgq

Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings

Sören Schulze, Emily J. King
2021 EURASIP Journal on Audio, Speech, and Music Processing  
We then make use of the pitch-invariant properties of that representation in order to identify the sounds of the instruments via the same sparse pursuit method.  ...  It is based on a parametric model that describes the spectral properties of the sounds of musical instruments independently of pitch.  ...  Bodmann, Gitta Kutyniok, and Monika Dörfler for engaging discussions on the subject and Kara Tober for playing the clarinet samples.  ... 
doi:10.1186/s13636-020-00190-4 fatcat:fkxyeyw2yff7vk6mgpjihfhaou

Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients [article]

Sören Schulze, Johannes Leuschner, Emily J. King
2021 arXiv   pre-print
To provide phase information and account for inaccuracies in the dictionary-based representation, we also let the network output a direct prediction, which we then use to resynthesize the audio signals  ...  We describe the individual tones via a parametric model, training a dictionary to capture the relative amplitudes of the harmonics.  ...  The next step in abstraction is to model the individual harmonics separately while enforcing sparsity in the spectral representation [16] .  ... 
arXiv:2107.04235v2 fatcat:of6ddj3llja2vicx5zijemf4uy

Towards Timbre-Invariant Audio Features for Harmony-Based Music

Meinard Muller, Sebastian Ewert
2010 IEEE Transactions on Audio, Speech, and Language Processing  
For evaluation purposes we compiled a collection of audio recordings that comprises harmony-based music of various genres.  ...  After that, we show how our novel features improve the matching quality between harmonically-related music excerpts contained in different versions and arrangements of the same piece of music.  ... 
doi:10.1109/tasl.2010.2041394 fatcat:k4vjhnvuajarrhrhzdym7tw7qa

Discrimination of musical instrument sounds resynthesized with simplified spectrotemporal parameters

Stephen McAdams, James W. Beauchamp, Suzanna Meneguzzi
1999 Journal of the Acoustical Society of America  
ACKNOWLEDGMENTS We would like to thank Sophie Savel for running subjects in the control experiment, Bennett Smith for the wonders of PSIEXP, as well as John Hajda and two anonymous reviewers for helpful  ...  whose tones are at least approximately harmonic.  ...  A given sound can be reconstituted with high quality from the full representation using time-varying additive synthesis.  ... 
doi:10.1121/1.426277 pmid:9972573 fatcat:chebkjz4oreizlnwmmg5s2ta44

Cell-Utes and Flutter-Tongued Cats: Sound Morphing Using Loris and the Reassigned Bandwidth-Enhanced Model

Kelly Fitz, Lippold Haken, Susanne Lefvert, Corbin Champion, Mike O'Donnell
2003 Computer Music Journal  
Combining sinusoidal and noise energy in a homogeneous representation, the reassigned bandwidth-enhanced model is ideally suited to sound morphing and is implemented in the open-source software library  ...  The encoding of noise associated with a bandwidth-enhanced partial is robust under time dilation and other model-domain transformations, and it is independent of other partials in the representation.  ...  In many cases, it is possible to increase the hop time, thereby reducing the volume of data, by a factor of two without compromising the quality of the representation.  ... 
doi:10.1162/014892603322482529 fatcat:x6d4pl5k2fgszema5vedux7ejq

Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients

Sören Schulze, Johannes Leuschner, Emily J. King
2021 Signals  
To provide phase information and account for inaccuracies in the dictionary-based representation, we also let the network output a direct prediction, which we then use to resynthesize the audio signals  ...  We describe the individual tones via a parametric model, training a dictionary to capture the relative amplitudes of the harmonics.  ...  The next step in abstraction is to model the individual harmonics separately while enforcing sparsity in the spectral representation [16] .  ... 
doi:10.3390/signals2040039 fatcat:27g54qpm3nak3d76xp6aqfszye

How Stable is Pitch Labeling Accuracy in Absolute Pitch Possessors?

Wilfried Gruhn, Reet Ristmägi, Peter Schneider, Arun D'Souza, Kristi Kiilu
2019 Empirical Musicology Review  
A passive listening test with single tones was developed (Tallinn Test of Absolute Pitch, TTAP), with 150 items selected, representing 60 synthetic instrumental tones (violin, clarinet, and trumpet) in  ...  This study examines the stability of pitch labeling accuracy in a broad sample of AP possessors when natural complex tones are compared to modified sound structures (slightly out-of-tune pitches, sounds  ...  Wilfried Gruhn, Lärchenstr. 5, D-79256 Buchenbach, mail@wgruhn.de [2] All sound items were electronically designed and produced in the Electronic Music Studio at the Estonian Academy of Music by Tammo  ... 
doi:10.18061/emr.v13i3-4.6637 fatcat:5jyzrmxhsfhcrpmr6lyilbgho4

Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques

B. Kostek
2004 Proceedings of the IEEE  
The topics presented in this paper include automatic recognition of musical instruments and separation of duet sounds.  ...  One can name such parameters both subjective and objective ones such as pitch (frequency in hertz or barks), brightness (spectral centroid), tone/noise-like quality (spectral flatness measure), attack  ...  The following sounds were mixed in two groups in pairs: • trumpet A4-clarinet A#4; • trumpet B3-clarinet A4; • trumpet A3-clarinet A#5; • trumpet B3-clarinet A#3; and • English horn A3-viola A#3; • English  ... 
doi:10.1109/jproc.2004.825903 fatcat:lr6tbr2i5rduvkwkpa57u2do6u
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