We would like to invite you to send your contributions to NLP4MusA, the first Workshop on Natural Language Processing for Music and Audio, co-located with ISMIR 2020.
When: October, 16
Where: ISMIR 2020 (Montreal)
Submission deadline: July, 17
Proceedings: Accepted papers will be published on the ACL Anthology.
Sponsors: Pandora, Deezer and Spotify
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 First 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 and audio.
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
- 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 language models
- Spoken audio/podcast generation
Colin Raffel, Google Brain
Sam Mehr, Harvard University
We invite extended abstracts of up to 2 pages or 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://drive.google.
Only papers using the above template will be considered. Word templates will not be provided.
Papers should be submitted via EasyChair: https://easychair.
Important dates vb
Submission Deadline: July 17, 2020
Notification of Acceptance: August 7, 2020
Camera-Ready Deadline: September 4, 2020
Workshop Date: October 16, 2020
- Sergio Oramas, Pandora (soramas [at] pandora [dot] com)
- Massimo Quadrana, Pandora (mquadrana [at] pandora [dot] com)
- Luis Espinosa-Anke, Cardiff University
- Elena Epure, Deezer
- Rosie Jones, Spotify
- Mohamed Sordo, Pandora
- Kento Watanabe, AIST
- Marion Baranes (Deezer)
- Francesco Barbieri (Snap)
- Elena Cabrio (Université Cote d’Azur)
- José Camacho-Collados (Cardiff University)
- Iñigo Casanueva (Poly AI)
- Christos Christodoulopoulos (Amazon)
- Ann Clifton (Spotify)
- Albin Correya (UPF)
- Andrés Ferraro (UPF)
- George Fazekas (QMUL)
- Michael Fell (Université Cote d’Azur)
- Gregory Finley (Pandora)
- Ichiro Fujinaga (McGill University)
- Masataka Goto (AIST)
- Fabien Gouyon (Pandora)
- Romain Hennequin (Deezer)
- Peter Knees (TU Wien)
- Mark Levy (Apple)
- Pasquale Lisena (EURECOM)
- Manuel Moussallam (Deezer)
- Aasish Pappu (Spotify)
- Lorenzo Porcaro (UPF)
- Zahra Rahimi (Pandora)
- Sravana Reddy (Spotify)
- Giuseppe Rizzo (LINKS Foundation)
- Horacio Saggion (UPF)
- Markus Schedl (TU Linz)
- Richard Sutcliffe (University of Essex)
- Scott Waterman (Pandora)
- Minz Won (UPF)
- Shuo Zhang (BOSE Corporation)
- We are hiring a full-time NLP engineer at Bose!
- I am giving an internal talk at Bose on NLP and MIR 10/15/2018(CC Auditorium 3pm).
- I am giving an internal talk at Bose (with Jin Wang) on SIGIR download 10/24/2018(@BL Boston Landing MA-BL-10005; MA-BL-10103 11am).
- I am giving a research talk on NLP in MIR at the Computational Linguistics program of University of Washington in Seattle 10/19/2018(1:30-2:20pm on 10/19 at GUG 415L).
- I am giving a research talk on speech prosody data mining using linguistic knowledge at Linguistic Department Colloquium at University of Washington in Seattle on 10/19/2018(3:30pm, JOHNSON 075).
- I am giving a NLP/MIR research talk at Spotify 9/4/2018 (11am).
- I am recruiting a NLP Co-op/intern for Spring 2019. See the job post.
- I am co-teaching a Chinese traditional music Master Class (with my father Zhang Yuming) at Hamline University, St Paul, MN (9/16/18, 9am)
- I am an invited speaker at the AI Accelerator Summit Boston 10/16-17/19
- I am an invited speaker at the Global AI conference Boston 10/3-4/19
- I am aninvited speakerin the Deep Learning Summit Boston 05/24/19
- Speech data mining paper accepted for publication at ACL SIGMORPHON Workshop 05/17/19
- Special mention of NAACL reviewers who contributed 5 or more reviews! 04/15/19
- I am giving a guest lecture on sentiment analysis at Data Science for Urban Sustainability graduate course at Tufts University (Prof Shan Jiang), 3/12/19
As DCASE is wrapping up, I am finishing my conference cycles for this year. Good times.
Here are some statistics of my conference and community involvement this year, 2019:
- 8 conferences involvement total – NAACL, ACL, WWW, SANE, DCASE, REWORK, AI Accelerator, Global AI
- 6 conferences – attended in person
- 4 conferences – program committee involvement (reviewer)
- 5 academia, 3 industry
- 3 conferences – gave invited talks
- 3 fields – NLP, sound computing, AI&ML
- 1 conference – published papers
Looking forward to a great 2020 conference season!