NLP4MUSA 2024

Call For Papers

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 Third Workshop on NLP for Music and Audio, a forum for bringing together academic and industrial scientists and stakeholders interested in exploring synergies between NLP and music/audio. 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 and spoken audio contexts.

Topics of Interest

We welcome both academic and industry submissions at the crossroads of NLP and music and audio, including (but not limited to) topics such as:

• NLP for Music and Audio 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 and spoken audio understanding

• NLP for Music and Audio 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 and Audio Generation

  • Lyrics generation

  • Music generation with (Large) Language models

  • Spoken audio/podcast generation

Submission Instructions

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/tree/main/latex

Only papers using the above template will be considered. Word templates will not be provided.

Papers should be submitted via EasyChair: https://easychair.org/my/conference?conf=nlp4musa2024

Accepted submissions will be published as ACL anthology papers.

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 5, 2024

Notification of Acceptance: August 2, 2024

Camera-Ready Deadline: September 6, 2024

Workshop Date: November 15, 2024