Beijing, China

Wenning Wei


Average Co-Inventor Count = 12.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: **Wenning Wei: Innovator in Speech Recognition Technology**

Introduction

Wenning Wei, an innovative inventor based in Beijing, China, is recognized for his contributions to the field of speech recognition technology. With a focus on improving speech recognition models through advanced methodologies, he has successfully secured two patents, marking his impact in the tech industry.

Latest Patents

Wenning Wei's latest patents revolve around generating and using text-to-speech (TTS) data for speech recognition models. The patented systems, methods, and devices focus on enhancing the performance of speech recognition models by integrating TTS data. A main model is trained using keyword-independent baseline training data. Notably, this model can adjust its acoustic and language sub-components by incorporating new TTS training data, especially from a multi-speaker neural TTS system for underrepresented keywords in the baseline training data. This innovation is particularly beneficial for pronunciation learning and normalization of confidence scores in keyword spotting applications and aids in rapid speaker adaptation within speech recognition systems.

Career Highlights

Wenning currently works at Microsoft Technology Licensing, LLC, where his innovative spirit and technical expertise contribute to the advancement of speech recognition technologies. His work exemplifies the integration of artificial intelligence with everyday applications, leading to more responsive and efficient voice interactions.

Collaborations

Throughout his career, Wenning has collaborated with talented individuals such as Guoli Ye and Lei He. Their combined efforts have fostered an environment of innovation, leading to breakthroughs in the realm of speech technologies.

Conclusion

Wenning Wei stands out as a key figure in the development of cutting-edge speech recognition models. His innovative patents and collaborations showcase his commitment to enhancing the technology that drives voice recognition systems forward. As he continues to push the boundaries of what's possible in the field, his contributions will undoubtedly shape the future of human-computer interaction.

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