Monica Song

Title: Monica Song - Innovator in Sound Model Localization

Introduction

Monica Song is a talented inventor based in La Canada Flintridge, CA (US). She has made significant contributions to the field of sound localization technology. Her innovative work has led to the development of a patent that enhances the way sound is processed and understood within various environments.

Latest Patents

Monica holds a patent for "Sound model localization within an environment." This patent describes systems and techniques for localizing sound models by receiving sound recordings from devices in the environment. Preliminary labels for these recordings are determined using pre-trained sound models, which include associated probabilities. The process generates sound clips with preliminary labels that meet a high-recall threshold. These clips are then sent to user devices, where labeled sound clips are received and used to create training data sets for further refinement of the sound models.

Career Highlights

Monica is currently employed at Google Inc., where she continues to push the boundaries of sound technology. Her work is instrumental in developing systems that improve sound recognition and localization, which have applications in various fields, including artificial intelligence and user interface design.

Collaborations

Monica collaborates with notable colleagues such as Rajeev Conrad Nongpiur and Byungchul Kim. Their combined expertise fosters an environment of innovation and creativity, leading to advancements in sound technology.

Conclusion

Monica Song is a pioneering inventor whose work in sound model localization is shaping the future of audio technology. Her contributions at Google Inc. and her innovative patent demonstrate her commitment to advancing the field.