NLP4MusA2024: 3rd Workshop on NLP for Music and Audio co-located with ISMIR2024 San Francisco, CA, United States, November 15-16, 2024 |
| Conference website | https://sites.google.com/view/nlp4musa-2024/home |
| Submission link | https://easychair.org/conferences/?conf=nlp4musa2024 |
| Submission deadline | July 12, 2024 |
We would like to invite you to send your contributions to NLP4MusA2024, the 3rd Workshop on NLP for Music and Audio, co-located with ISMIR2024.
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When: November 15, 2024
Where: San Francisco, co-located with ISMIR2024
Submission deadline: July 12, 2024
Proceedings: Accepted papers will be published on the ACL Anthology.
Website: https://sites.google.com/view/nlp4musa-2024
Submission link: https://easychair.org/conferences/?conf=nlp4musa2024
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Natural Language Processing (NLP) research is typically associated with the advancement of language technologies. However, in today's growing digital landscape, where users engage with other users, products and service providers, NLP is becoming ubiquitous due to its ability to facilitate and personalize access to digital content of any nature. One case of particular relevance is the audio entertainment industry, as language is a key component of most audio content (e.g., songs, podcasts, radio shows, audio ads, etc.) as well as user-content interactions (e.g., textual queries, spoken utterances, social media activity, etc.). In this context, we propose the 3rd Workshop on NLP for Music and Audio, a forum for bringing together academic, industrial scientists, and stakeholders interested in exploring synergies between NLP and music. We especially encourage submissions that explore the application of Large Language Models (LLMs) in the audio entertainment industry, i.e. research focusing on the development, customization, or innovative use of LLMs in music contexts.
Topics of interest
We welcome both academic and industry submissions at the crossroads of NLP and music, including (but not limited to) topics such as:
- NLP for Music Understanding
- Tagging and meta-tagging
- Knowledge graph construction
- Information extraction
- Named entity recognition and linking
- Speech to text
- Song and podcast segmentation
- Topic modeling
- Sentiment analysis
- Representation learning
- Bias in music and audio corpora
- Audio captioning
- Debiasing music entity embeddings
- Evaluation and adaptation of LLMs for music understanding
- NLP for Music Retrieval and Personalization
- Conversational AI
- Slot filling and intent prediction
- Information retrieval
- Cross-modal retrieval
- Recommender systems
- Ads personalization
- Responsible recommendations
- Fairness and transparency
- NLP for Music Generation
- Lyrics generation
- Music generation with (Large) Language models
Submission Guidelines
We invite short-papers of up to 4 pages (excluding references). The review process will be double-blind. Submissions should adhere to the ACL Anthology formatting guidelines.
A LaTeX template is available here: https://github.com/mulab-mir/nlp4MusA-style-files
Only papers using the above template will be considered. Word templates will not be provided.
Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=nlp4musa2024
Double submission
To maximise the impact of work in the field of NLP for Music and Audio, we are open to the possibility of double submission, or submission of work which has been partially published elsewhere. Any double submission should however be reported to the programme committee at the time of submission.
Authors can submit works that were previously published on preprint websites like arXiv.org.
Important Dates
Submission Deadline: July 12, 2024
Notification of Acceptance: August 2, 2024
Camera-Ready Deadline: September 6, 2024
Workshop Date: November 15, 2024
Program Committee
- Anna Kruspe, Munich University of Applied Sciences (anna [dot] kruspe [at] hm [dot] edu)
- Sergio Oramas, Pandora (soramas [at] pandora [dot] com)
- Elena V. Epure, Deezer (eepure [at] deezer [dot] com)
- Mohamed Sordo, Pandora
- Benno Weck, UPF & Huawei
- SeungHeon Doh, KAIST
- Ilaria Manco, QMUL
- Minz Won, Suno
- Gabriel Meseguer Brocal, Deezer
Contact
All questions about submissions should be emailed to nlp4musa@googlegroups.com