Wyniki wyszukiwania dla: MUSIC DATABASES

• Music Data Processing and Mining in Large Databases for Active Media

  Publikacja

  • B. Kostek
  • P. Hoffmann

  - Rok 2014

  The aim of this paper was to investigate the problem of music data processing and mining in large databases. Tests were performed on a large data-base that included approximately 30000 audio files divided into 11 classes cor-responding to music genres with different cardinalities. Every audio file was de-scribed by a 173-element feature vector. To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable...

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• Database-The Journal of Biological Databases and Curation

  Czasopisma

  ISSN: 1758-0463

• Music Information Retrieval in Music Repositories

  Publikacja

  • B. Kostek

  - Rok 2013

  This chapter reviews the key concepts associated with automated Music Information Retrieval (MIR). First, current research trends and system solutions in terms of music retrieval and music recommendation are discussed. Next, experiments performed on a constructed music database are presented. A proposal for music retrieval and annotation aided by gaze tracking is also discussed.

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• Listening to Live Music: Life beyond Music Recommendation Systems

  Publikacja

  • B. Kostek

  - Rok 2018

  This paper presents first a short review on music recommendation systems based on social collaborative filtering. A dictionary of terms related to music recommendation systems, such as music information retrieval (MIR), Query-by-Example (QBE), Query-by-Category (QBC), music content, music annotating, music tagging, bridging the semantic gap in music domain, etc. is introduced. Bases of music recommender systems are shortly presented,...

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• SUBJECTIVE PERCEPTION OF MUSIC GENRES IN THE FIELD OF MUSIC INFORMATION RETRIEVAL SYSTEMS

  Publikacja

  • P. Hoffmann
  • B. Kostek

  - Rok 2014

  The aim of this paper is to evaluate the relationship between perception of music genres and subjective features of music that can be assigned to them. For this purpose a group of subjective features such as loudness, melody, rhythm, volume, instrumentation was chosen to describe music genres. A group of 30 listeners with normal hearing, ranging from 20 to 40, was created. Each sub-ject participating in listening tests was asked...

• SUBJECTIVE PERCEPTION OF MUSIC GENRES IN THE FIELD OF MUSIC INFORMATION RETRIEVAL SYSTEMS

  Publikacja

  • P. Hoffmann
  • B. Kostek

  - Rok 2014

  The aim of this paper is to evaluate the relationship between perception of music genres and subjective features of music that can be assigned to them. For this purpose a group of subjective features such as loudness, melody, rhythm, volume, instrumentation was chosen to describe music genres. A group of 30 listeners with normal hearing, ranging from 20 to 40, was created. Each sub-ject participating in listening tests was asked...

• Network analyses with the use of spatial databases

  Publikacja

  • S. Budkowski

  - Geomatics, Landmanagement and Landscape - Rok 2022

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• Evaluation Criteria for Affect-Annotated Databases

  Publikacja

  • A. Kołakowska
  • A. Landowska
  • M. Szwoch
  • W. Szwoch
  • M. Wróbel

  - Rok 2015

  In this paper a set of comprehensive evaluation criteria for affect-annotated databases is proposed. These criteria can be used for evaluation of the quality of a database on the stage of its creation as well as for evaluation and comparison of existing databases. The usefulness of these criteria is demonstrated on several databases selected from affect computing domain. The databases contain different kind of data: video or still...

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• Music Recommendation System

  Publikacja

  • P. Hoffmann
  • A. Kaczmarek
  • P. Spaleniak
  • B. Kostek

  - Journal of Telecommunications and Information Technology - Rok 2014

  The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music les. They are assigned to 22 classes corresponding to dierent music genres. Various feature vectors based on low-level signal descriptors are tested and then optimized using correlation analysis and Principal Component Analysis (PCA). Results of the experiments...

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• National Music Forum

  Publikacja

  • M. Arczyńska

  - Rok 2015

  Text on National Music Forum in Wroclaw.