Fuliang Weng

Title: Fuliang Weng: Innovator in Speech Recognition Technology

Introduction

Fuliang Weng is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence, particularly in speech recognition technologies. His innovative work has led to the development of a patented method that enhances the accuracy and effectiveness of speech recognition systems.

Latest Patents

Fuliang Weng holds a patent for a "Speech recognition method, apparatus, and device, and computer-readable storage medium." This invention pertains to the field of artificial intelligence technologies. The method involves obtaining or generating a dynamic target language model based on reply information of a first intent. The dynamic target language model consists of a front-end part and a core part. The process includes obtaining a speech signal, parsing it to generate a keyword, and invoking the dynamic target language model to determine a second intent and service content. This innovative approach ensures that the provided service content aligns with user requirements, achieving a high recognition effect. He has 1 patent to his name.

Career Highlights

Fuliang Weng has worked with notable companies in the technology sector. He has been associated with Huawei Technologies Co., Limited, a leading global provider of information and communications technology (ICT) infrastructure and smart devices. Additionally, he has contributed his expertise to Shenzhen Yinwang Intelligent Technologies Co., Ltd., a company focused on intelligent technology solutions.

Collaborations

Throughout his career, Fuliang Weng has collaborated with talented individuals in the field. Notable coworkers include Weiran Nie and Hai Yu, who have also made significant contributions to technology and innovation.

Conclusion

Fuliang Weng's work in speech recognition technology exemplifies the impact of innovation in artificial intelligence. His patented methods and collaborations with leading companies highlight his commitment to advancing technology. His contributions continue to shape the future of speech recognition systems.