Xiao-Lin Ren

Title: Innovations by Inventor Xiao-Lin Ren in Language Detection Technologies

Introduction

Xiao-Lin Ren is an accomplished inventor based in Shanghai, China. With a strong background in language processing technologies, Ren has contributed significantly to the field. Ren holds a total of three patents that showcase innovative approaches to enhancing device responsiveness through language-independent wake-up word detection.

Latest Patents

Among Ren's latest innovations are two patents focusing on techniques for language-independent wake-up word detection. The first patent details a method involving the reception of an acoustic input from a user speaking a wake-up word in a target language. This patent provides a framework for processing speech through an acoustic model that has been trained on data from a different source language. By comparing the sequences of speech units obtained from the initial and subsequent acoustic inputs, the method effectively recognizes the wake-up word despite language differences.

The second patent presents a user device designed to perform wake-up word detection. This device includes microphones to capture acoustic information, a computer-readable medium containing the acoustic model, and processors programmed to facilitate the wake-up detection process while operating in a low-power mode. The integration of these components demonstrates an advanced approach to developing responsive and energy-efficient user devices.

Career Highlights

Xiao-Lin Ren works at Cerence Operating Company, a leader in AI-driven technologies for the automotive sector. Ren's expertise and passion for language processing have played a pivotal role in enhancing user interaction within their products. The innovative technologies developed by Ren contribute to the seamless integration of voice recognition in various applications.

Collaborations

Ren collaborates with talented peers, including Jianzhong Teng and Xingui Zeng. Working alongside these esteemed colleagues, Ren has been able to push the boundaries of language detection technologies. Their collective efforts continue to pave the way for new advancements in the field, fostering creativity and innovation in their research endeavors.

Conclusion

Xiao-Lin Ren's contributions to language-independent wake-up word detection underscore the importance of innovation in user device technologies. With a focus on enhancing device accuracy and efficiency, Ren's work at Cerence Operating Company exemplifies the cutting-edge research being conducted in the realm of language processing. The ongoing collaborations with fellow inventors further enrich the landscape of technological advancements, promising a future where user devices respond more intuitively to human interaction.