GC-P3.2
LIWHIZ: A NON-INTRUSIVE LYRIC INTELLIGIBILITY PREDICTION SYSTEM FOR THE CADENZA CHALLENGE
Ram C. M. C. Shekar, UT Southwestern, United States of America; Iván López-Espejo, University of Granada, Spain
Session:
GC-P3: Predicting Lyric Intelligibility (CADENZA) Poster
Track:
SP Grand Challenges
Location:
Poster Area 43
Presentation Time:
Wed, 6 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session GC-P3
GC-P3.1: INTRUSIVE LYRIC INTELLIGIBILITY VIA HYBRID ATTENTION OVER ASR EMBEDDINGS AND FEATURE BLOCKS
Rahul Peter, Vivek Mohan, Seralathan Subramanian, Lauri Juvela, Aalto University, Finland
GC-P3.2: LIWHIZ: A NON-INTRUSIVE LYRIC INTELLIGIBILITY PREDICTION SYSTEM FOR THE CADENZA CHALLENGE
Ram C. M. C. Shekar, UT Southwestern, United States of America; Iván López-Espejo, University of Granada, Spain
GC-P3.3: MULTI-MODAL FEATURE FUSION AND STACKING ENSEMBLE LEARNING FOR LYRIC INTELLIGIBILITY PREDICTION
Candy Olivia Mawalim, Xiajie Zhou, Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
GC-P3.4: STEREO CHORUS OF WHISPERS: PERCEPTUALLY-AUGMENTED EAR-SPECIFIC INTELLIGIBILITY PREDICTION
Longbin Jin, Heungsoo Kim, Youngmin Kim, Citech Co., Ltd., Korea, Republic of; Eun Yi Kim, Konkuk University, Korea, Republic of
GC-P3.5: A UNIFIED MULTI-ENCODER FRAMEWORK FOR MUSIC LYRIC INTELLIGIBILITY ASSESSMENT: BRIDGING INVASIVE AND NON-INVASIVE PARADIGMS
Jing Yang, Shenghao Liao, Shuqing Zhang, Yongyi Deng, Pan Li, Wuhan University, China; Zerui Han, MiLM Plus, Xiaomi Inc., Wuhan, China, China; Gongping Huang, Wuhan University, China
GC-P3.6: OVERVIEW OF THE ICASSP 2026 CADENZA CHALLENGE: PREDICTING LYRIC INTELLIGIBILITY
Gerardo Roa-Dabike, Jon Barker, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Trevor Cox, University of Salford, United Kingdom of Great Britain and Northern Ireland; Michael Akeroyd, University of Nottingham, United Kingdom of Great Britain and Northern Ireland; Scott Bannister, University of Leeds, United Kingdom of Great Britain and Northern Ireland; Bruno Fazenda, University of Salford, United Kingdom of Great Britain and Northern Ireland; Jennifer Firth, University of Nottingham, United Kingdom of Great Britain and Northern Ireland; Simone Graetzer, University of Salford, United Kingdom of Great Britain and Northern Ireland; Alinka Greasley, University of Leeds, United Kingdom of Great Britain and Northern Ireland; Rebecca Vos, University of Salford, United Kingdom of Great Britain and Northern Ireland; William Whitmer, University of Nottingham, United Kingdom of Great Britain and Northern Ireland
Contacts