Browse the active poster session's channels, joining calls to ask questions and discuss research with presenters, and leave comments in the channel for asynchronous chatting later.

• P7-01: A unified model for zero-shot singing voice conversion and synthesis
  Jui-Te Wu, Jun-You Wang, Jyh-Shing Roger Jang, Li Su
• P7-02: Semantic Control of Generative Musical Attributes
  Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh
• P7-03: Music Representation Learning Based on Editorial Metadata from Discogs
  Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov
• P7-04: Melody Infilling with User-Provided Structural Context
  Chih-Pin Tan, Alvin W Y Su, Yi-Hsuan Yang
• P7-05: Robust Melody Track Identification in Symbolic Music
  Xichu Ma, Xiao Liu, Bowen Zhang, Ye Wang
• P7-06: Tracking the Evolution of a Band's Live Performances over Decades
  Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii
• P7-07: Evaluating Generative Audio Systems and Their Metrics
  Ashvala Vinay, Alexander Lerch
• P7-08: Representation Learning for the Automatic Indexing of Sound Effects Libraries
  Alison B Ma, Alexander Lerch
• P7-09: Concept-Based Techniques for ""Musicologist-Friendly"" Explanations in Deep Music Classifiers
  Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer
• P7-10: Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition
  Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle
• P7-11: Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription
  Longshen Ou, Xiangming Gu, Ye Wang
• P7-12: A Novel Dataset and Deep Learning Benchmark for Classical Music Form Recognition and Analysis
  Daniel Szelogowski, Lopamudra Mukherjee, Benjamin Whitcomb
• P7-13: BAF: An audio fingerprinting dataset for broadcast monitoring
  Guillem Cortès, Alex Ciurana, Emilio Molina, Marius Miron, Owen Meyers, Joren Six, Xavier Serra
• P7-14: Cadence Detection in Symbolic Classical Music using Graph Neural Networks
  Emmanouil Karystinaios, Gerhard Widmer
• P7-15: Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation
  Jingwei Zhao, Gus Xia, Ye Wang
• P7-16: Modeling perceptual loudness of piano tone: theory and applications
  Yang Qu, Yutian Qin, Lecheng Chao, Hangkai Qian, Ziyu Wang, Gus Xia
• P7-17: On the Impact and Interplay of Input Representations and Network Architectures for Automatic Music Tagging
  Maximilian Damböck, Richard Vogl, Peter Knees

An asterisk (*) indicates long presentations (paper award candidates)

The Late-breaking/Demo (LBD) session is a forum for sharing prototype systems, initial concepts, and early results which may have not yet fully matured but are of interest to the Music-IR community. It is also a great entry point for people who are new to ISMIR to showcase their preliminary work and receive early feedback from fellow researchers. Attendees of the LBD can interact with demos or discuss their thoughts on the latest developments in the field.

The Late-breaking/Demo (LBD) session is a forum for sharing prototype systems, initial concepts, and early results which may have not yet fully matured but are of interest to the Music-IR community. It is also a great entry point for people who are new to ISMIR to showcase their preliminary work and receive early feedback from fellow researchers. Attendees of the LBD can interact with demos or discuss their thoughts on the latest developments in the field.