Second Call for Papers: 4th Workshop on NLP for Music and Audio (NLP4MusA 2026)
Co-located with EACL 2026, Rabat, Morocco and Online, March 24–29, 2026
Building on a tradition of cross-disciplinary impact, the intersection of NLP with music and audio-based creative media presents a frontier full of unique challenges and exciting opportunities. The Fourth Workshop on Natural Language Processing for Music and Audio (NLP4MusA) aims to explore the multimodal synergies between language, music, and sound. As NLP increasingly enables domains where language and interaction converge, the entertainment industry offers a particularly compelling case: most audio content such as songs or podcasts, contains an inherent linguistic dimension, while user engagement often occurs through language, from search queries to social media conversations.
We welcome submissions on topics such as:
NLP for Music and Audio Understanding
- Music Tagging and Auto-tagging, Knowledge Graph Construction, Semantic Ontologies
- Information Extraction, Named Entity Recognition, and Entity Linking
- Multimodal Representation Learning, Lyrics and Symbolic Representation Analysis
- Emotion and Sentiment Analysis, Culture-specific Music Understanding, Corpora Bias
- Music Captioning and Description Generation
NLP for Music Retrieval or Recommendation
- Conversational Interfaces, Query understanding and Intent Prediction
- Multimodal, Cross-modal Music Information Retrieval and Recommender Systems
- Natural Language User Modeling
- Music Question Answering
- Fairness and Transparency
NLP for Music and Audio Generation
- Lyrics Generation, Audio or Symbolic Query-driven Music Generation
- Synthetic Music Content Detection
Organizers
Elena V. Epure, Deezer
Sergio Oramas, SiriusXM
SeungHeon Doh, KAIST
Anna Kruspe, Munich University of Applied Sciences
Mohamed Sordo, SiriusXM