ISSN:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- physical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 25 | A |
2017 | 25 | A |
2016 | 20 | A |
2015 | 25 | A |
2014 | 10 | B |
2013 | 25 | A |
2012 | 25 | A |
2011 | 25 | A |
2010 | 27 | A |
Model:
Points CiteScore:
Year | Points |
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Year 2023 | 3.5 |
Year | Points |
---|---|
2023 | 3.5 |
2022 | 3 |
2021 | 2.6 |
2020 | 2.5 |
2019 | 2.4 |
2018 | 2.4 |
2017 | 2 |
2016 | 2.1 |
2015 | 2.3 |
2014 | 2.2 |
2013 | 2 |
2012 | 1.3 |
2011 | 0.9 |
Impact Factor:
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Papers published in journal
Filters
total: 13
Catalog Journals
Year 2020
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Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing
PublicationDeveloping signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....
Year 2018
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Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition
Publicationconvolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...
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Editor's note and 2018 reviewers
PublicationPrzedmiotem pracy jest odniesienie do prac opublikowanych w 2018 roku, jak również do serii artykułów w ramach specjalnego wydania: Special Issue on Augmented and Participatory Sound and Music Interaction Using Semantic Audio.
Year 2016
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Adaptive Personal Tuning of Sound in Mobile Computers
PublicationAn integrated methodology for enhancing audio quality in mobile computers is presented. The key features are adaptation of the characteristics of their acoustic track to changing acoustic conditions of the environment and to users’ individual preferences. Signal processing algorithms are introduced that concern: linearization of frequency response, dialogue intelligibility enhancement, and dynamics processing tuned up to the users’...
Year 2015
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Bass Enhancement Settings in Portable Devices Based on Music Genre Recognition
PublicationThe paper presents a novel approach to the Virtual Bass Synthesis (VBS) applied to mobile devices, called Smart VBS (SVBS). The proposed algorithm uses an intelligent, rule-based setting of bass synthesis parameters adjusted to the particular music genre. Harmonic generation is based on a nonlinear device (NLD) method with the intelligent controlling system adapting to the recognized music genre. To automatically classify music...
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Measurements and Visualization of Sound Intensity Around the Human Head in Free Field Using Acoustic Vector Sensor
PublicationThis paper presents measurements and visualization of sound intensity around the human head simulator in a free field. A Cartesian robot, applied for precise positioning of the acoustic vector sensor, was used to measure sound intensity. Measurements were performed in a free field using a head and torso simulator and the setup consisting of four different loudspeaker configurations. The acoustic vector sensor was positioned around...
Year 2013
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New Aspects of Virtual Sound Source Localization Research—Impact of Visual Angle and 3-D Video Content on Sound Perception
PublicationThe influence of image on virtual sound source localization, called the “image proximity effect” or the “ventriloquism effect”, is a well known phenomenon. This paper focuses on other aspects related to this effect, namely the impact of the visual angle of the presented object and 3D video content on sound perception. The research conducted confirmed that the visual angle of the presented object determines the image proximity effect...
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Testing A Novel Gesture-Based Mixing Interface
PublicationWith a digital audio workstation, in contrast to the traditional mouse-keyboard computer interface, hand gestures can be used to mix audio with eyes closed. Mixing with a visual representation of audio parameters during experiments led to broadening the panorama and a more intensive use of shelving equalizers. Listening tests proved that the use of hand gestures produces mixes that are aesthetically as good as those obtained using...
Year 2009
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A double-talk detector using audio watermarking
Publicationa novel approach to double-talk detection in the acoustic echo canceler is proposed. a hidden signature is embedded into the arriving signal, using the echo-hiding method. next detection of the presence of this signature in the microphone signal is performed. the results of the signature detection may be used by the acoustic echo canceler to stop or restart the adaptation process.
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Tonality Estimation and Frequency Tracking of Modulated Tonal Components
PublicationA novel method for tonality estimation and frequency tracking of tonal components modulated in frequency and amplitude is presented. The algorithm detects the local maxima of magnitude spectra corresponding to three contiguous frames of a signal and matches them into the tonal track candidates. The magnitude-based and phase-based methods are used to estimate the frequency jumps between spectrum maxima belonging to the tonal track...
Year 2008
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System for automatic singing voice recognition
PublicationW artykule przedstawiono system automatycznego rozpoznawania jakości i typu głosu śpiewaczego. Przedstawiono bazę danych oraz zaimplementowane parametry. Algorytmem decyzyjnym jest algorytm sztucznych sieci neuronowych. Wytrenowany system decyzyjny osiąga skuteczność ok. 90% w obydwu kategoriach rozpoznawania. Dodatkowo wykazano przy pomocy metod statystycznych, że wyniki działania systemu automatycznej oceny jakości technicznej...
Year 2007
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DSP techniques for determining ''Wow'' distortions
PublicationArtykuł przedstawia opis algorytmów do wyznaczania charakterystyki zniekształceń kołysania dźwięku. Są to algorytmy: śledzenia przydźwięku sieciowego, śledzenia pozostałości magnetycznej prądu podkładu wielkich częstotliwości, adaptacyjnej analizy środka ciężkości widma dla wybranej części zniekształconego sygnału. Przedstawione algorytmy pozwalają na implementację programową i sprzętową.
Year 2006
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