Company Filing History:
Years Active: 2025
Title: Melissa Kagaju: Innovator in Audio Speech Signal Analysis
Introduction
Melissa Kagaju is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of audio speech signal analysis, particularly in the context of fraud detection. With a total of 2 patents, her work is paving the way for advancements in technology that enhance security measures in communication systems.
Latest Patents
Melissa's latest patents focus on a device, system, and method for analyzing audio speech signals to detect fraudulent calls to a contact center. The innovative approach involves splitting an audio recording of a call in real-time into a foreground speech signal attributed to a main speaker and a background audio signal. By extracting audio features from both signals, the data is input into an ensemble model comprising multiple different machine learning models co-trained to cumulatively 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, and a prosody model to detect voice intonation of the main speaker. The ensemble model outputs a prediction indicating whether the call is fraudulent.
Career Highlights
Melissa Kagaju is currently employed at Morgan Stanley Services Group Inc., where she applies her expertise in audio signal processing and machine learning. Her work is instrumental in developing systems that enhance the security of communication channels, making her a valuable asset to her organization.
Collaborations
Melissa collaborates with talented individuals such as Cheryl Fernandes and Mehak Mehta, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Melissa Kagaju's contributions to audio speech signal analysis and fraud detection exemplify her commitment to innovation in technology. Her patents reflect a deep understanding of machine learning and its applications in real-world scenarios.