Zobrazeno 1 - 10
of 384
pro vyhledávání: '"Music retrieval"'
Publikováno v:
Sensors, Vol 23, Iss 2, p 805 (2023)
In recent years, with the development of the internet, video has become more and more widely used in life. Adding harmonious music to a video is gradually becoming an artistic task. However, artificially adding music takes a lot of time and effort, s
Externí odkaz:
https://doaj.org/article/f0ee284ff938464695d3c9bde657e6ae
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9354 (2022)
The subjectivity of listeners’ emotional responses to music is at the crux of optimizing emotion-aware music recommendation. To address this challenge, we constructed a new multimodal dataset (“HKU956”) with aligned peripheral physiological sig
Externí odkaz:
https://doaj.org/article/346745e2a56a4e0691cd342ab5c51d58
Publikováno v:
Algorithms, Vol 15, Iss 5, p 146 (2022)
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of marketplace fingerprinting is choice: we consider a broad range of
Externí odkaz:
https://doaj.org/article/cd1e698ad8a94ac5835a826c31d24b0e
Akademický článek
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Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 3, Iss 1 (2020)
In this paper, we address the problem of modeling and predicting the music genre preferences of users. We introduce a novel user modeling approach, 'BLLu', which takes into account the popularity of music genres as well as temporal drifts of user lis
Externí odkaz:
https://doaj.org/article/c6a1de440ad248dd98d57bdff030d5b0
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 1, Iss 1, Pp 22-33 (2018)
This work addresses the problem of matching musical audio directly to sheet music, without any higher-level abstract representation. We propose a method that learns joint embedding spaces for short excerpts of audio and their respective counterparts
Externí odkaz:
https://doaj.org/article/3c6e1e9396aa46b192f6f4bdc95d65a6
Autor:
Muh-Chyun Tang, Mang-Yuan Yang
Publikováno v:
Journal of Library and Information Studies, Vol 15, Iss 1, Pp 1-16 (2017)
An experimental study was conducted to assess the effectiveness of the four music discovery tools available on Spotify, a popular music streaming service, namely: radio recommendation, regional charts, genres and moods, as well as following Facebook
Externí odkaz:
https://doaj.org/article/1810d51331b64a58b67bf4566cff7a1e
Linking sheet music images to audio recordings remains a key problem for the development of efficient cross-modal music retrieval systems. One of the fundamental approaches toward this task is to learn a cross-modal embedding space via deep neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3361::85cb6d584204a177326a7a7d7ddfee38
https://epub.jku.at/doi/10.1145/3587819.3590968
https://epub.jku.at/doi/10.1145/3587819.3590968
Publikováno v:
EAI Endorsed Transactions on Creative Technologies, Vol 2, Iss 3, Pp 1-10 (2015)
An emerging trend in interactive music performance consists of the audience directly participating in the performance by means of mobile devices. This is a step forward with respect to concepts like active listening and collaborative music making: no
Externí odkaz:
https://doaj.org/article/f4055c3fde5f4326ba659b1b49fdcfe2
Publikováno v:
9th International Conference on Digital Libraries for Musicology.
We introduce phantom curves, a novel music-theoretical concept based on the discrete Fourier transform (DFT), and document the creative process that led to their discovery. In particular, we emphasize the importance of interactive web applications fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b0f6223d200046f2431de376d6a55c
https://doi.org/10.1145/3543882.3543886
https://doi.org/10.1145/3543882.3543886