NLP4MusA

Opening + Keynote 1 (8-9:10AM UTC-4)

What can MIR learn from transfer learning in NLP?. Colin Raffel (UNC at Chapel Hill / Google Brain)

Oral Presentations 1A (9:10-9:30AM UTC-4)

• Discovering Music Relations with Sequential Attention. Junyan Jiang, Gus Xia and Taylor Berg-Kirkpatrick

• Lyrics Information Processing: Analysis, Generation, and Applications. Kento Watanabe and Masataka Goto

Posters Q&A 1A/1B (9:30-11AM UTC-4)

Video Playlists: Youtube | Bilibili

• Discovering Music Relations with Sequential Attention. Junyan Jiang, Gus Xia and Taylor Berg-Kirkpatrick

• Lyrics Information Processing: Analysis, Generation, and Applications. Kento Watanabe and Masataka Goto

• Prediction of user listening contexts for music playlists. Jeong Choi, Anis Khlif and Elena Epure

• Computational Linguistics Metrics for the Evaluation of Two-Part Counterpoint Generated with Neural Machine Translation. Stefano Kalonaris, Thomas McLachlan and Anna Aljanaki

• BUTTER: A Representation Learning Framework for Bi-directional Music-Sentence Retrieval and Generation. Yixiao Zhang, Ziyu Wang, Dingsu Wang and Gus Xia

• Unsupervised Melody Segmentation Based on a Nested Pitman-Yor Language Model. Shun Sawada, Kazuyoshi Yoshii and Keiji Hirata

• Generation of lyrics lines conditioned on music audio clips. Olga Vechtomova, Gaurav Sahu and Dhruv Kumar.

• Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs. Kongmeng Liew, Yukiko Uchida, Nao Maeura and Eiji Aramaki.

• Music autotagging as captioning. Tian Cai, Michael I Mandel and Di He.

Industry Session 1A (11AM-12PM UTC-4)

• Music data processing for voice control. Rosa Stern & Alice Coucke (Sonos)

• “Je ne parle pas anglais”, dealing with multilingualism in MIR. Elena Epure, Marion Baranes & Romain Henequin (Deezer)

• Lean-back or lean-in? Fabien Gouyon (Pandora/SXM)

Keynote 2 (12:30-1:30PM UTC-4)

• Universality and diversity in human song. Sam Mehr (Harvard Music Lab)

Oral Presentations 2A (1:30-2PM UTC-4)

• Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity. Brihi Joshi, Shravika Mittal and Aditya Chetan

• Symbolic Music Generation with Transformer-GANs. Aashiq Muhamed, Liang Li, Xingjian Shi, Rahul Suresh and Alexander Smola

• An Information-based Model for Writing Style Analysis of Lyrics. Melesio Crespo-Sánchez, Edwin Aldana-Bobadilla, Iván López-Arévalo and Alejandro Molina-Villegas

Posters Q&A 2A/2B (2-3:30PM UTC-4)

Video Playlists: Youtube | Bilibili

• Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity. Brihi Joshi, Shravika Mittal and Aditya Chetan

• Using Latent Semantics of Playlist Titles and Descriptions to Enhance Music Recommendations. Yun Hao and J. Stephen Downie

• Symbolic Music Generation with Transformer-GANs. Aashiq Muhamed, Liang Li, Xingjian Shi, Rahul Suresh and Alexander Smola

• An Information-based Model for Writing Style Analysis of Lyrics. Melesio Crespo-Sánchez, Edwin Aldana-Bobadilla, Iván López-Arévalo and Alejandro Molina-Villegas

• Hyperbolic Embeddings for Music Taxonomy. Maria Astefanoaei and Nicolas Collignon

• Interacting with GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation. Cariña Geerlings and Albert Meroño-Peñuela

• Comparing Lyrics Features for Genre Recognition. Maximilian Mayerl, Michael Vötter, Manfred Moosleitner and Eva Zangerle.

• MusicBERT - learning multi-modal representations for music and text. Federico Rossetto and Jeff Dalton.

Industry Session 2A (3:30-4:30PM UTC-4)

• Inside a real world conversational music recommender. Tao Ye (Amazon)

• Building a Personalized Voice Assistant for Music. Isaac Julien & Shuo Zhang (Bose)

• The Spotify Podcasts Dataset. Sravana Reddy (Spotify)