Towards Music-Aware Virtual Assistants

要旨

We propose a system for modifying spoken notifications in a manner that is sensitive to the music a user is listening to. Spoken notifications provide convenient access to rich information without the need for a screen. Virtual assistants see prevalent use in hands-free settings such as driving or exercising, activities where users also regularly enjoy listening to music. In such settings, virtual assistants will temporarily mute a user's music to improve intelligibility. However, users may perceive these interruptions as intrusive, negatively impacting their music-listening experience. To address this challenge, we propose the concept of music-aware virtual assistants, where speech notifications are modified to resemble a voice singing in harmony with the user's music. We contribute a system that processes user music and notification text to produce a blended mix, replacing original song lyrics with the notification content. In a user study comparing musical assistants to standard virtual assistants, participants expressed that musical assistants fit better with music, reduced intrusiveness, and provided a more delightful listening experience overall.

著者
Alexander Wang
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
David Lindlbauer
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Chris Donahue
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3654777.3676416

動画

会議: UIST 2024

ACM Symposium on User Interface Software and Technology

セッション: 2. Sound & Music

Westin: Allegheny 2
5 件の発表
2024-10-16 23:00:00
2024-10-17 00:15:00