Company Filing History:
Years Active: 2012
Title: Keiko Aoki: Innovator in Music Retrieval Technology
Introduction
Keiko Aoki is a prominent inventor based in Saitama-ken, Japan. She has made significant contributions to the field of music retrieval technology, holding 2 patents that showcase her innovative approach to feature extraction and music matching.
Latest Patents
Her latest patents include a feature extraction apparatus, feature extraction method, and program thereof. This invention provides techniques that reduce the time and storage capacity required to calculate the feature value of AAC-format song data. The feature extraction unit consists of several components, including an MDCT coefficient extraction unit, a classification unit, an integrating unit, and a feature calculation unit. These components work together to efficiently process and analyze music data.
Another notable patent is the apparatus for music retrieval, method for music retrieval, and program for music retrieval. This invention offers a solution for retrieving music that aligns with user preferences across a variety of songs. The apparatus includes a feature vector generating device, a clustering device, a music extraction device, a music selection accepting device, and a music retrieval device. Together, these components enable users to find music that closely matches their selections.
Career Highlights
Keiko Aoki is currently employed at KDDI Corporation, where she continues to develop her innovative ideas in technology. Her work has significantly impacted the way music is processed and retrieved, making it easier for users to discover music that suits their tastes.
Collaborations
She collaborates with talented individuals such as Keiichiro Hoashi and Hiromasa Yanagihara, contributing to a dynamic and innovative work environment.
Conclusion
Keiko Aoki's contributions to music retrieval technology highlight her role as a leading inventor in her field. Her patents reflect her commitment to innovation and her ability to address complex challenges in music processing.