2018
DOI: 10.1007/978-3-030-04780-1_25
|View full text |Cite
|
Sign up to set email alerts
|

Using Crowd Sourced Data for Music Mood Classification

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 25 publications
0
3
0
Order By: Relevance
“…It can provide a robust operating environment for localization systems [25,26]. With the surging of smartphone sensing and wireless networking techniques, crowdsensing has become a promising paradigm for cross-space and large-scale sensing [27][28][29][30][31][32][33]. Gupta A, et al used crowdsourcing methods to estimate road gradients from multiple sources or vehicles to improve the accuracy and robustness of the system [34].…”
Section: Related Workmentioning
confidence: 99%
“…It can provide a robust operating environment for localization systems [25,26]. With the surging of smartphone sensing and wireless networking techniques, crowdsensing has become a promising paradigm for cross-space and large-scale sensing [27][28][29][30][31][32][33]. Gupta A, et al used crowdsourcing methods to estimate road gradients from multiple sources or vehicles to improve the accuracy and robustness of the system [34].…”
Section: Related Workmentioning
confidence: 99%
“…Next, the noise is one of the distortions that degrade the audio content, so removal of these disturbances in the audio is an important task. Also, the lack of large and unbiased datasets in the public domain is a major challenge in music mood classification as all of these challenges required supervision from the expert [7]. The present research has described 4 types of mood taxonomies for 4 different types of ragas namely Sindhu Bhairavi, Darbari, Saveri, and Sri Raga which are selected from the CompMusic dataset that consists of 70 types of ragas [8].…”
Section: Introductionmentioning
confidence: 99%
“…Raga is the collection of melodic expressions that consist of identifiable melodic movements and the arrangement of tones that give rise to musical compositions and improvisations. The ragas are identified based on the levels of pitches and convey a particular kind of emotion [1,2]. The arrangements of a set of pitches give rise to a set of ragas that establish a mood or flavor of the raga.…”
Section: Introductionmentioning
confidence: 99%