Vancouver, Canada

Eva Sharma


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: **Innovator Spotlight: Eva Sharma**

Introduction

Eva Sharma is an accomplished inventor based in Vancouver, Canada, known for her contributions to the field of speech recognition technologies. With a focus on enhancing the utility of text-to-speech (TTS) data, she has been at the forefront of innovations aimed at improving speech recognition models. Her work not only reflects her personal ingenuity but also the collaborative spirit of the tech community.

Latest Patents

Eva Sharma holds two patents, with her latest invention focused on generating and using text-to-speech data to enhance speech recognition models. The patented systems, methods, and devices detail an innovative approach to training main models with keyword-independent baseline training data. This technology is particularly notable for its modifications to acoustic and language model sub-components, which are adapted using new TTS training data. This process leverages a multi-speaker neural TTS system, especially for keywords that may be underrepresented in standard training sets. Furthermore, the new training data is instrumental in improving pronunciation learning and normalizing keyword-dependent confidence scores in keyword spotting (KWS) applications, as well as facilitating rapid speaker adaptation in speech recognition systems.

Career Highlights

Eva is currently employed at Microsoft Technology Licensing, LLC, where she continues to drive innovation in speech recognition technologies. Her role involves collaborating on various projects that seek to push the boundaries of what is possible in the realm of artificial intelligence and machine learning applications.

Collaborations

Throughout her career, Eva has collaborated with other talented professionals in the field. Notable among her colleagues are Guoli Ye and Wenning Wei, with whom she has shared insights and expertise, leading to breakthroughs in technology that benefit both consumers and industry stakeholders alike.

Conclusion

Eva Sharma exemplifies the spirit of innovation, blending creativity with technical expertise in her contributions to speech recognition technology. Her continued work at Microsoft Technology Licensing, LLC, along with her impactful patents, ensures that she will remain a prominent figure in the innovation landscape for years to come. As the field of artificial intelligence evolves, Eva's advancements will undoubtedly inspire future inventors and researchers.

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