نتایج جستجو برای: music in songs

تعداد نتایج: 16987869  

2007
Claudio Baccigalupo Enric Plaza

This paper presents a knowledge-intensive Case-Based Reasoning system to generate a sequence of songs customised for a community of listeners. To select each song in the sequence, first a subset of songs musically associated with the last song of the sequence is retrieved from a music pool; then the preferences of the audience expressed as cases are reused to customise the selection for the gro...

2013
Mohamed Morchid Richard Dufour Mohamed Bouallegue Georges Linarès Driss Matrouf

In this paper, we describe the LIA system proposed for the MediaEval 2013 Soundtrack task. The aim is to predict the most suitable soundtrack from a list of candidate songs, given a TV commercial. The organizers provide a development dataset including multimedia features. The initial assumption of the proposed system is that commercials which sell the same type of product, also share the same m...

Journal: :CoRR 2013
Aleksandar Stupar Sebastian Michel

In this work, a benchmark to evaluate the retrieval performance of soundtrack recommendation systems is proposed. Such systems aim at finding songs that are played as background music for a given set of images. The proposed benchmark is based on preference judgments, where relevance is considered a continuous ordinal variable and judgments are collected for pairs of songs with respect to a quer...

Journal: :مجله علوم اعصاب شفای خاتم 0
rezvan vatankhah department of humanistic science, persian language and literature faculty, isfahan university, isfahan, iran. mohammad vatankhah department of education and psychology, clinical psychology faculty, shahid chamran university, ahvaz, iran.

the purpose of this study was to investigate the content analysis of recent persian songs (2013-2014) according to emotions of anxiety, depression, anger, fear and happiness. the research method was content analysis type. the sample consisted of 50 persian songs from 2013 to 2014 which they were selected by simple sampling. to analysis of data, massages were categorized in emotions of anxiety, ...

2016
Chia-Hao Chung Jing-Kai Lou Homer H. Chen

Understanding user listening behaviors is important to the personalization of music recommendation. In this paper, we present an approach that discovers user behavior from a large-scale, real-world listening record. The proposed approach generates a latent representation of users, listening sessions, and songs, where each of these objects is represented as a point in the multi-dimensional laten...

2009
J. W. Balkema Wietse Balkema

This thesis is on the subject of content based music playlist generation systems. The primary aim is to develop algorithms for content based music playlist generation that are faster than the current state of technology while keeping the quality of the playlists at a level that is at least comparable with that of the current state of technology. Not only need the algorithms be fast, they shall ...

2014
Zhirong Yang Jaakko Peltonen Samuel Kaski

http://archive.ics.uci.edu/ml/ http://yann.lecun.com/exdb/mnist/ http://vlado.fmf.uni-lj.si/pub/networks/ data/ http://code.google.com/p/linloglayout/ http://www.music-ir.org/mirex/wiki/2007 Chen et al. (2009). It is a similarity graph of 3090 songs. The songs are evenly divided among 10 classes that roughly correspond to different music genres. The weighted edges are human judgment on how simi...

2002
Steffen Pauws Berry Eggen

A means to ease selecting preferred music referred to as Personalized Automatic Track Selection (PATS) has been developed. PATS generates playlists that suit a particular contextof-use, that is, the real-world environment in which the music is heard. To create playlists, it uses a dynamic clustering method in which songs are grouped based on their attribute similarity. The similarity measure se...

2009
Ning-Han Liu Szu-Wei Lai Chien-Yi Chen Shu-Ju Hsieh

The digital music is booming through rapid expansion of Internet. Users can listen to their favorite songs via web all the time. The electronic commercial leads to development of the recommendation system, which enhances the desire of music buying for customers. The online music recommendation system usually grabs the historical record from past listeners. With extensive data analysis or statis...

2010
Ju-Chiang Wang Hung-Shin Lee Shyh-Kang Jeng Hsin-Min Wang

Music tags provide different types of semantic information about music. Recently, automatic music tagging has generated a great deal of interest among researchers in the field of music information retrieval. In this paper, we propose a posterior weighted Bernoulli mixture model (PWBMM) that automatically annotates a song with tags, or retrieves relevant songs given a semantic tag. The PWBMM app...

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