Abstract
This publication describes audio-recording techniques, which allow a user equipment (UE) to determine a user’s intent and apply audio beamforming and wind-noise filtering based on the determined intent. This provides the user with an enhanced user experience (UX) by enabling the user to focus on the moment and use the UE to record or capture the acoustic signals that best-represent the auditory scene. Among other aspects, the invention uses machine learning (ML) to analyze the auditory scene and the environment of the user.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Singaraju, Snehitha and Kim, Moonseok, "Audio-Recording Techniques Using Machine Learning (ML)", Technical Disclosure Commons, (May 29, 2019)
https://www.tdcommons.org/dpubs_series/2227