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相关论文: Music Popularity: Metrics, Characteristics, and Au…

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News articles are extremely time sensitive by nature. There is also intense competition among news items to propagate as widely as possible. Hence, the task of predicting the popularity of news items on the social web is both interesting…

计算机与社会 · 计算机科学 2012-02-07 Roja Bandari , Sitaram Asur , Bernardo A. Huberman

Being able to predict whether a song can be a hit has impor- tant applications in the music industry. Although it is true that the popularity of a song can be greatly affected by exter- nal factors such as social and commercial influences,…

声音 · 计算机科学 2017-04-06 Li-Chia Yang , Szu-Yu Chou , Jen-Yu Liu , Yi-Hsuan Yang , Yi-An Chen

Music similarity search is useful for a variety of creative tasks such as replacing one music recording with another recording with a similar "feel", a common task in video editing. For this task, it is typically necessary to define a…

音频与语音处理 · 电气工程与系统科学 2020-08-14 Jongpil Lee , Nicholas J. Bryan , Justin Salamon , Zeyu Jin , Juhan Nam

Consonance is related to the perception of pleasantness arising from a combination of sounds and has been approached quantitatively using mathematical relations, physics, information theory, and psychoacoustics. Tonal consonance is present…

声音 · 计算机科学 2017-04-25 Jorge Useche , Rafael Hurtado

Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks. Although human similarity judgments are the gold standard,…

音频与语音处理 · 电气工程与系统科学 2020-06-29 Jeff Ens , Philippe Pasquier

This study explores the association between music preferences and moral values by applying text analysis techniques to lyrics. Harvesting data from a Facebook-hosted application, we align psychometric scores of 1,386 users to lyrics from…

计算机与社会 · 计算机科学 2024-08-27 Vjosa Preniqi , Kyriaki Kalimeri , Charalampos Saitis

Melody is one of the most important components in music. Unlike other components in music theory, such as harmony and counterpoint, computable features for melody is urgently in need. These features are highly demanded as data-driven…

声音 · 计算机科学 2020-03-23 Zehao Wang , Shicheng Zhang , Xiaoou Chen

Online music services are increasing in popularity. They enable us to analyze people's music listening behavior based on play logs. Although it is known that people listen to music based on topic (e.g., rock or jazz), we assume that when a…

人工智能 · 计算机科学 2017-05-29 Kosetsu Tsukuda , Masataka Goto

Psychological models are increasingly being used to explain online behavioral traces. Aside from the commonly used personality traits as a general user model, more domain dependent models are gaining attention. The use of domain dependent…

信息检索 · 计算机科学 2018-08-23 Bruce Ferwerda , Mark Graus

Pattern discovery algorithms in the music domain aim to find meaningful components in musical compositions. Over the years, although many algorithms have been developed for pattern discovery in music data, it remains a challenging task. To…

声音 · 计算机科学 2020-10-26 Iris Ren , Anja Volk , Wouter Swierstra , Remco C. Veltkamp

Several studies have identified discrepancies between the popularity of items in user profiles and the corresponding recommendation lists. Such behavior, which concerns a variety of recommendation algorithms, is referred to as popularity…

Based on a review of anecdotal beliefs, we explored patterns of track-sequencing within professional music albums. We found that songs with high levels of valence, energy and loudness are more likely to be positioned at the beginning of…

多媒体 · 计算机科学 2024-08-09 Pedro Neto , Martin Hartmann , Geoff Luck , Petri Toiviainen

This paper aims to test whether a multi-modal approach for music emotion recognition (MER) performs better than a uni-modal one on high-level song features and lyrics. We use 11 song features retrieved from the Spotify API, combined lyrics…

声音 · 计算机科学 2023-02-28 Tibor Krols , Yana Nikolova , Ninell Oldenburg

Automatic melody generation for pop music has been a long-time aspiration for both AI researchers and musicians. However, learning to generate euphonious melody has turned out to be highly challenging due to a number of factors.…

This work aims to predict the popularity of short videos using the videos themselves and their related features. Popularity is measured by four key engagement metrics: view count, like count, comment count, and share count. This study…

计算机视觉与模式识别 · 计算机科学 2025-01-03 Haixu Liu , Wenning Wang , Haoxiang Zheng , Penghao Jiang , Qirui Wang , Ruiqing Yan , Qiuzhuang Sun

There is a wide variety of music similarity detection algorithms, while discussions about music plagiarism in the real world are often based on audience perceptions. Therefore, we aim to conduct a study to examine the key criteria of human…

声音 · 计算机科学 2026-01-07 Daeun Hwang , Hyeonbin Hwang

Music preferences are strongly shaped by the cultural and socio-economic background of the listener, which is reflected, to a considerable extent, in country-specific music listening profiles. Previous work has already identified several…

信息检索 · 计算机科学 2021-02-08 Markus Schedl , Christine Bauer , Wolfgang Reisinger , Dominik Kowald , Elisabeth Lex

In previous work, our results suggested that some cities tend to be ahead of others in their musical preferences. We concluded that work by noting that to properly test this claim, we would try to exploit the leader-follower relationships…

社会与信息网络 · 计算机科学 2013-01-24 Conrad Lee , Aaron McDaid , Pádraig Cunningham

When songs are composed or performed, there is often an intent by the singer/songwriter of expressing feelings or emotions through it. For humans, matching the emotiveness in a musical composition or performance with the subjective…

Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition. However, the nature of repetition and structure in music is still not well understood, especially in the context of music…

声音 · 计算机科学 2022-09-02 Shuqi Dai , Huiran Yu , Roger B. Dannenberg