ISSN:
Ministry points: Help
Year | Points | List |
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Year 2024 | 5 | Journal not listed on ministry scored journal list 2024 |
Year | Points | List |
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2024 | 5 | Journal not listed on ministry scored journal list 2024 |
2023 | 5 | Not listed on the ministry scored journals list 2023 |
2022 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2021 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2020 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2019 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2018 | 40 | A |
2017 | 40 | A |
2016 | 35 | A |
2015 | 40 | A |
2014 | 40 | A |
2013 | 35 | A |
2012 | 40 | A |
2011 | 40 | A |
2010 | 32 | A |
Points CiteScore:
Year | Points |
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Year 2022 | 0 |
Year | Points |
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2022 | 0 |
2021 | 4.4 |
2016 | 9.5 |
2015 | 8.7 |
2014 | 8.2 |
2013 | 6.4 |
2012 | 5 |
2011 | 4.4 |
Impact Factor:
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Papers published in journal
Filters
total: 5
Catalog Journals
Year 2015
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Elimination of Impulsive Disturbances From Stereo Audio Recordings Using Vector Autoregressive Modeling and Variable-order Kalman Filtering
PublicationThis paper presents a new approach to elimination of impulsive disturbances from stereo audio recordings. The proposed solution is based on vector autoregressive modeling of audio signals. Online tracking of signal model parameters is performed using the exponential ly weighted least squares algo- rithm. Detection of noise pulses an d model-based interpolation of the irrevocably distorted sampl es is realized using an adaptive, variable-order...
Year 2014
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Genre-Based Music Language Modeling with Latent Hierarchical Pitman-Yor Process Allocation
PublicationIn this work we present a new Bayesian topic model: latent hierarchical Pitman-Yor process allocation (LHPYA), which uses hierarchical Pitman-Yor pr ocess priors for both word and topic distributions, and generalizes a few of the existing topic models, including the latent Dirichlet allocation (LDA), the bi- gram topic model and the hierarchical Pitman-Yor topic model. Using such priors allows for integration of -grams with a topic model,...
Year 2013
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Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling
PublicationSymbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of an- alyzing musical information or signals. In this paper, we propose a family of probabilistic symbolic polyphonic pitch models, which account for both the “horizontal” and the “vertical” pitch struc- ture. These models are formulated as linear or log-linear interpo- lations of up to fi ve sub-models, each of which is...
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Elimination of Impulsive Disturbances From Archive Audio Signals Using Bidirectional Processing
PublicationIn this application-oriented paper we consider the problem of elimination of impulsive disturbances, such as clicks, pops and record scratches, from archive audio recordings. The proposed approach is based on bidirectional processing—noise pulses are localized by combining the results of forward-time and backward-time signal analysis. Based on the results of specially designed empirical tests (rather than on the results of theoretical analysis),...
Year 2006
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