Anna Aljanaki. Genre-conformity in the topics of lyrics and song popularity
Poster Slides
Hayeon Bang, Eunjin Choi, Megan Finch, Seungheon Doh, Seolhee Lee, Gyeong-Hoon Lee and Juhan Nam. PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text
Hans-Ulrich Berendes, Simon Schwär and Meinard Müller. Lyrics Transcription in Western Classical Music with Whisper: A Case Study on Schubert's Winterreise
Elena V. Epure, Gabriel Meseguer Brocal, Darius Afchar and Romain Hennequin. Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation
Anna Farzindar and Jason Jarvis. NLP Analysis of Environmental Themes in Phish Lyrics Across Concert Locations and Years
Robie Gonzales and Frank Rudzicz. A Retrieval Augmented Approach for Text-to-Music Generation
Simon Hachmeier and Robert Jäschke. Information Extraction of Music Entities in Conversational Music Queries
Simon Hachmeier and Robert Jäschke. Leveraging User-Generated Metadata of Online Videos for Cover Song Identification
Takashi Harada, Takehiro Motomitsu, Katsuhiko Hayashi, Yusuke Sakai and Hidetaka Kamigaito. Can Impressions of Music be Extracted from Thumbnail Images?
Soham Korade, Suswara Pochampally and Saroja Tk. Raga Space Visualization: Analyzing Melodic Structures in Carnatic and Hindustani Music
Anna Kruspe. Musical ethnocentrism in Large Language Models
Dinh-Viet-Toan Le, Louis Bigo and Mikaela Keller. Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation
Giulio Prevedello, Ines Blin, Bernardo Monechi and Enrico Ubaldi. Lyrics for success: embedding features for song popularity prediction
Pedro Ramoneda, Emilia Parada-Cabaleiro, Benno Weck and Xavier Serra. The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?
Pratik Sutar, Jason Naradowsky and Yusuke Miyao. "Does it Chug?" Towards a data-driven understanding of guitar tone description
Yannis Vasilakis, Rachel Bittner and Johan Pauwels. Evaluation of pretrained language models on music understanding
Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen and Julian McAuley. FUTGA: Towards Fine-grained
Music Understanding through Temporally-enhanced Generative Augmentation
Yongyi Zang and Yixiao Zhang. The Interpretation Gap in Text-to-Music Generation Models