Wyniki wyszukiwania dla: ALLOPHONES, AUDIO FEATURES, ARTIFICIAL NEURAL NETWORKS (ANNS), K-NEAREST NEIGHBOR (KNN), SELF-ORGANIZING MAP (SOM)

• MACHINE LEARNING–BASED ANALYSIS OF ENGLISH LATERAL ALLOPHONES

  Publikacja

  • M. Piotrowska
  • G. Korvel
  • B. Kostek
  • T. Ciszewski
  • A. Czyżewski

  - International Journal of Applied Mathematics and Computer Science - Rok 2019

  Automatic classification methods, such as artificial neural networks (ANNs), the k-nearest neighbor (kNN) and selforganizing maps (SOMs), are applied to allophone analysis based on recorded speech. A list of 650 words was created for that purpose, containing positionally and/or contextually conditioned allophones. For each word, a group of 16 native and non-native speakers were audio-video recorded, from which seven native speakers’...

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• Music Mood Visualization Using Self-Organizing Maps

  Publikacja

  • M. Piotrowska
  • B. Kostek

  - Archives of Acoustics - Rok 2015

  Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which...

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• Piotr Szczuko dr hab. inż.

  Osoby

  Katedra Systemów Multimedialnych

  Dr hab. inż. Piotr Szczuko w 2002 roku ukończył studia na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej zdobywając tytuł magistra inżyniera. Tematem pracy dyplomowej było badanie zjawisk jednoczesnej percepcji obrazu cyfrowego i dźwięku dookólnego. W roku 2008 obronił rozprawę doktorską zatytułowaną "Zastosowanie reguł rozmytych w komputerowej animacji postaci", za którą otrzymał nagrodę Prezesa Rady...

• Bożena Kostek prof. dr hab. inż.

  Osoby

  Laboratorium Akustyki Fonicznej

• Olgun Aydin dr

  Osoby

  Katedra Statystyki i Ekonometrii

  Olgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...

• Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process

  Publikacja

  • A. Stateczny
  • M. Wlodarczyk-Sielicka

  - Rok 2014

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• Self–Organizing Map representation for clustering Wikipedia search results

  Publikacja

  • J. Szymański

  - Rok 2011

  The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

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• Self-Organizing Map representation for clustering Wikipedia search results

  Publikacja

  • J. Szymański

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  The article presents an approach to automated organization of textual data. The experiments have been performed on selected sub-set of Wikipedia. The Vector Space Model representation based on terms has been used to build groups of similar articles extracted from Kohonen Self-Organizing Maps with DBSCAN clustering. To warrant efficiency of the data processing, we performed linear dimensionality reduction of raw data using Principal...

• Analysing the Residential Market Using Self-Organizing Map

  Publikacja

  • O. Aydin
  • K. Zieliński

  - Rok 2022

  Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial...

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• Multi-Camera Vehicle Tracking Using Local Image Features and Neural Networks

  Publikacja

  • P. Dalka

  - Rok 2012

  A method for tracking moving objects crossing fields of view of multiple cameras is presented. The algorithm utilizes Artificial Neural Networks (ANNs). Each ANN is trained to recognize images of one moving object acquired by a single camera. Local image features calculated in the vicinity of automatically detected interest points are used as object image parameters. Next, ANNs are employed to identify the same objects captured...

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