most citedTag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk

3 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MM20213 cited

Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation

Kunal Vaswani, Yudhik Agrawal, Vinoo Alluri

Music has the power to evoke intense emotional experiences and regulate the mood of an individual. With the advent of online streaming services, research in music recommendation se…

cs.CL20211 cited

How Much do Lyrics Matter? Analysing Lyrical Simplicity Preferences for Individuals At Risk of Depression

Jaidev Shriram, Sreeharsha Paruchuri, Vinoo Alluri

Music affects and in some cases reflects one's emotional state. Key to this influence is lyrics and their meaning in conjunction with the acoustic properties of the track. Recent w…

cs.IR2021

Transformer-based approach towards music emotion recognition from lyrics

Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri

The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years. Music emotion recognition has typ…

eess.AS2020

Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk

Aayush Surana, Yash Goyal, Vinoo Alluri

Music, an integral part of our lives, which is not only a source of entertainment but plays an important role in mental well-being by impacting moods, emotions and other affective…

cs.IR20203 cited

Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk

Aayush Surana, Yash Goyal, Manish Shrivastava +2

Musical preferences have been considered a mirror of the self. In this age of Big Data, online music streaming services allow us to capture ecologically valid music listening behav…