Beijing, China

Jiawei Chen

This inventor holds 2 USPTO granted patents and 7 published patent applications. Top assignee: Beijing Zitiao Network Technology Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiawei Chen. Retrieved from https://idiyas.com/inventor/jiawei-chen-et7hn8le

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

Average Co-Inventor Count = 16.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Jiawei Chen - Innovator in Audio Content Editing

Introduction

Jiawei Chen is an inventor based in Beijing, China. He is known for his innovative approaches to audio content editing. Although he currently holds no granted patents, his work in the field is noteworthy.

Latest Patent Applications

Jiawei Chen has submitted several patent applications that showcase his expertise. One of his latest applications is titled "METHOD AND APPARATUS FOR EDITING AUDIO CONTENT, ELECTRONIC DEVICE, AND PRODUCT." This application describes a method for editing audio content, which includes acquiring a modified text that consists of an original portion identical to the original audio and a modified portion that differs from it. The method also involves generating a target acoustic feature using a self-attention-based diffusion model. Additionally, he has applied for a patent related to "JOINT TRAINING," which involves obtaining and constructing mixed sequences based on text and speech content for training a target model.

Conclusion

Jiawei Chen's contributions to audio content editing through his patent applications highlight his innovative spirit and potential impact in the field. His work is a testament to the ongoing advancements in technology and audio processing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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