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Incorporating user characteristics and contextual information has shown to be essential when it comes to personalized music retrieval and recommendation. To this end, the current location of a user is often exploited. However, relying solely on GPS coordinates neglects the cultural background of users, which does not necessarily coincide with political borders. In this paper, we analyze culture-specific...
İn this study, we aim at gathering more scientific information about the musical data by using computer techology, and we are willing, to some extent, figure out the maqam structure of Traditional Turkish Art Music interpreted in the compositions. For this reason, 120 compositions from among Muhayyer Kurdi, Acem Kurdi and Kurdi makams in Traditional Turkish Art Music have been analysed and these compositions...
With the objective of empirically clarifying the musical culture phenomena by which music spreads and changes, this research quantitatively analyzes the musical characteristics and regional differences of folk songs from the Shikoku district (the southern region of Japan's largest island Honshu) as case studies. All the songs from the Shikoku district listed in the quantitatively and qualitatively...
The aim of this work is to predict the genres of songs by using machine learning techniques. For this purpose, feature extraction is done by using signal processing techniques, then machine learning algorithms are applied with those features to do a multiclass classification for music genres.
In this paper we focus on the characterization of singing styles in world music. We develop a set of contour features capturing pitch structure and melodic embellishments. Using these features we train a binary classifier to distinguish vocal from non-vocal contours and learn a dictionary of singing style elements. Each contour is mapped to the dictionary elements and each recording is summarized...
Many people enjoy classical symphonic music. Its diverse instrumentation makes for a rich listening experience. This diversity adds to conductors' expressive freedom to shape the sound according to their imagination. As a result, the same piece can sound quite different from one conductor to another. Differences in interpretation might be noticeable to listeners, but they are sometimes hard to pinpoint,...
Emotions evoked in response to music are not easy to quantify. While the feature data for a particular music excerpt is concrete, the emotions felt by a person are subjective. Although personal experiences can influence a person's perception of music, the combination of music features, such as timbre, tonality and rhythm all contribute to the perceived emotion. In addition, humans often associate...
Micro-blog service Twitter holds innumerable userposted short messages called tweets that cover various topics including local events. We proposed a method to extract a mount of various local event information using natural language processing from Twitter. This paper describes a method to extract event information and label categories such as music or culture to them. Our proposal is composed of...
This research task looks at the part lyric content and additionally audio features can play in enhancing audio music mood arrangement. With the developing measure of computerized music and human different requests to music data recovery, programmed music conclusion investigation is turning into a critical and vital assignment for different framework and applications, for example, music association,...
Open Source Software (OSS) hosted in Repositories such as GitHub can be valuable as a source of information for requirements engineers, especially in the apprentice phase of a new application. In this context, we propose a strategy to speed up the discovery of valuable information, since manual search may be time consuming in the vast dataset of GitHub projects. Our strategy is based on the identification...
The choice of music in everyday life is greatly influenced by contextual circumstances surrounding music listeners. Music lovers create music playlists for various contexts and activities they are engaged in, and this is done manually by updating and loading new playlist each time a user changes activity or context. This does not make music listening enjoyable as much time and effort is spent on searching...
Multimedia data generated and stored online is growing at a huge rate. In order to access the desired multimedia data in real time, this needs to be analyzed and stored in categorical manner. This paper presents the data mining base approach for categorization of musical data. Experiments are performed using various data mining classifiers and preprocessing methods. This paper also compares the performance...
In this paper, we introduce an automatic media content creation system according to an impression. The system creates media content such as music, an image, etc. according to an impression given by a user. The impression is represented in words. Generally, there are two systems related to an impression. The first is a recognition system. The recognition system evokes an impression from media content...
This paper is about the Mobile Audio Ontology, a semantic audio framework for the design of novel music consumption experiences on mobile devices. The framework is based on the concept of the Dynamic Music Object which is an amalgamation of audio files, structural and analytical information extracted from the audio, and information about how it should be rendered in realtime. The Mobile Audio Ontology...
New distribution channels like music streaming platforms paved way for making more and more diverse music available to users. Thus, music recommender systems got in the focus of research in academia as well as industry. Collaborative filtering-based recommender systems have been proven useful, but there is space left for improvements by adapting this general approach to better fit to the music recommendations...
Most sheet music websites provide chord sheet music document that has only simple text. The system should provide music information that is easy to understand and allows users to search and view a document in many aspects. However, music recommendation and searching capability based on music similarity of chord sequences in documents are challenging features for the system. In this paper, we present...
As the rapid increase of music data, Music Information Retrieval (MIR) have been receiving increasing attention in both the academic and commercial spheres. Feature extraction is a crucial part of many Music Information Retrieval (MIR) tasks. In recent years, deep learning approaches have gained significant interest as a way of learning a higher abstract representation from unlabeled data. In this...
Artificial intelligence (AI) has bloomed in many novel fields such as computational creativity. Recently, research on automatic composition using AI technology, especially evolutionary algorithms, has received considerable promising results. Traditionally, chromosomes are represented as a series of numbers to indicate the notes for evolutionary composition. This study attempts to explore the composition...
‘Deep within us is the silent sound of our own vibrations, which we may ignore but which is the musical core within us all.’- Yehudi Menuhin. Music is the harmonious vibration of sound waves that influence the body and mind. Music is known to create harmony and a peaceful state for the mind and body due to which a lot of health conditions including anxiety, stress, blood pressure and several other...
In music compositions, certain parts may be played in an improvisational style with a rather vague notion of tempo, while other parts are characterized by having a clearly perceivable tempo. Based on this observation, we introduce in this paper some novel audio features for capturing tempo-related information. Rather than measuring the specific tempo of a local section of a given recording, our objective...
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