Mehak Mehta

Title: The Innovative Contributions of Mehak Mehta

Introduction

Mehak Mehta is a prominent inventor based in Jersey City, NJ (US), known for her significant contributions to the field of audio signal analysis. With a total of 8 patents to her name, she has made remarkable strides in developing technologies that enhance fraud detection in communication systems.

Latest Patents

One of her latest patents focuses on audio speech signal analysis for fraud detection. This innovative device, system, and method analyze audio speech signals to detect fraudulent calls to a contact center. The process involves splitting an audio recording of a call in real-time into a foreground speech signal attributed to the main speaker and a background audio signal. It extracts audio features from both signals and inputs them into an ensemble model comprising multiple machine learning models co-trained to detect fraud. These models include a speaker audio model to detect audio speech anomalies, a speaker intent model to classify the intent of the main speaker, a synthetic voice detection model to identify non-human entities, and a prosody model to detect the voice intonation of the main speaker. The ensemble model outputs a prediction indicating whether the call is fraudulent.

Career Highlights

Mehak Mehta currently works at Morgan Stanley Services Group Inc., where she applies her expertise in audio signal processing and machine learning. Her work has been instrumental in advancing the capabilities of fraud detection technologies, making significant contributions to the financial services industry.

Collaborations

Throughout her career, Mehak has collaborated with talented professionals, including Shailesh Gavankar and Suryakant Brahmbhatt. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge solutions in her field.

Conclusion

Mehak Mehta's innovative work in audio speech signal analysis has positioned her as a leading inventor in the technology sector. Her contributions not only enhance fraud detection capabilities but also pave the way for future advancements in communication security.