Company Filing History:
Years Active: 2024-2025
Title: Innovations by Linhao Dong in Acoustic Technology
Introduction
Linhao Dong is a prominent inventor based in Beijing, China. He has made significant contributions to the field of acoustic technology, particularly in speaker change point detection and speech recognition. With a total of three patents to his name, Dong's work is paving the way for advancements in audio processing.
Latest Patents
One of Linhao Dong's latest patents is a method, apparatus, device, and storage medium for speaker change point detection. This innovative method involves acquiring target voice data and extracting acoustic features that characterize the acoustic information of the data. By encoding these features, Dong's approach enables the generation of speaker characterization vectors, which are then integrated to determine speaker change points effectively. This method significantly enhances the accuracy of detecting speaker change points in target voice data.
Another notable patent by Dong is focused on generating acoustic features, speech model training, and speech recognition. This patent outlines a method that utilizes the acoustic information vector of the current speech frame and its corresponding information weight. By analyzing the accumulated information weight from previous frames, Dong's method improves the retention rate of the current speech frame, thereby enhancing the overall speech recognition process.
Career Highlights
Linhao Dong is currently employed at Beijing Youzhuju Network Technology Co., Ltd. His work at this company has allowed him to further develop his innovative ideas and contribute to the advancement of acoustic technologies.
Collaborations
Dong collaborates with talented individuals such as Zejun Ma and Zhiyun Fan. Their combined expertise fosters a creative environment that drives innovation in their projects.
Conclusion
Linhao Dong's contributions to acoustic technology through his patents demonstrate his commitment to advancing the field. His innovative methods for speaker change point detection and speech recognition are setting new standards in audio processing.