@inproceedings{50e417744894498f91ad13c21020ec4e,
title = "VoiceAssist: Guiding users to high-quality voice recordings",
abstract = "Voice recording is a challenging task with many pitfalls due to sub-par recording environments, mistakes in recording setup, microphone quality, etc. Newcomers to voice recording often have difficulty recording their voice, leading to recordings with low sound quality. Many amateur recordings of poor quality have two key problems: too much reverberation (echo), and too much background noise (e.g. fans, electronics, street noise). We present VoiceAssist, a system that helps inexperienced users produce high quality recordings by providing real-time visual feedback on audio quality. We integrate modern audio quality measures into an interactive human-machine feedback loop, so that the audio quality can be maximized at capture-time. We demonstrate the utility of this feedback for improving the recording quality with a user study. When presented with visual feedback about recording quality, users produced recordings that were strongly preferred by third-party listeners, when compared to recordings made without this feedback.",
keywords = "Active capture, Audio quality, Creativity support tools, Feedback, Interfaces, Narration, Speech, Voice recording",
author = "Prem Seetharaman and Gautham Mysore and Bryan Pardo and Paris Smaragdis and Celso Gomes",
year = "2019",
month = may,
day = "2",
doi = "10.1145/3290605.3300539",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",
address = "United States",
note = "2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
}