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As a part of an ongoing research collaboration between the Centre for Digital Music of the Queen Mary University of London and the Music Technology Group of Universitat Pompeu Fabra Barcelona, we are happy to announce the launch of Song Describer, a crowdsourcing initiative to collect the first open research dataset of music captions:

https://song-describer.streamlit.app/

Song Describer is an open-source annotation platform featuring CC-licensed music that anyone can annotate with natural language descriptions. Through this platform, we aim to create the first research dataset of music-caption pairs, which will give us insights into how people describe music and support the development of audio-text ML models.

There is an increasing need for music datasets that go beyond categorical labels and we hope that our data collection efforts will promote more research on the relationship between natural language and music audio, and its many potential applications. If you're interested in this field or are curious or willing to contribute, you can head to Song Describer to read more about it and start annotating right away!

For more information about the platform's design, see the late-breaking demo presented at the ISMIR 2022 conference: https://ismir2022program.ismir.net/lbd_405.html

I am curious to survey what people on HN think about how AI and other emerging technologies will impact our music listening experiences. What new remarkable possibilities and challenges would it provide, and what problems could it create, in your opinion?

Hello, HackerNews!

We are conducting a survey on how people listen and discover music. It is mostly multiple-choice with some free-form questions about how do you interact with streaming services and purchased music. After you finish the survey, the statistics of the current answers are shown, so you can also learn how others consume and interact with music.

So if you are passionate about music, and can spare 5 minutes of your time, please contribute!

The survey is anonymous, and the data will only be used for research purposes.

Link: https://forms.gle/XaGQ2emq1V3rAmgQ8

Web Audio Conference 2021 has announced its preliminary program: https://webaudioconf2021.com/

It will be held on 5-7 July 2021, fully online, and we are looking for sponsors to make it more accessible for everyone interested.

WAC is an international conference dedicated to web audio technologies and applications. The conference addresses academic research, artistic research, development, design, evaluation and standards concerned with emerging audio-related web technologies such as Web Audio API, Web RTC, WebSockets and Javascript. The conference welcomes web developers, music technologists, computer musicians, application designers, industry engineers, R&D scientists, academic researchers, artists, students and people interested in the fields of web development, music technology, computer music, audio applications and web standards.

For sponsorship opportunities: https://webaudioconf2021.com/sponsorship-opportunities/