Adam M Paugh

Title: The Innovative Contributions of Adam M Paugh

Introduction

Adam M Paugh is a notable inventor based in Indianapolis, IN. He has made significant contributions to the field of audio signal processing, holding 2 patents that showcase his innovative approach to technology. His work primarily focuses on improving the efficiency and accuracy of audio classification systems.

Latest Patents

One of Adam's latest patents is titled "Cumulative average spectral entropy analysis for tone and speech classification." This invention involves a contact center system designed to perform call progress analysis, which includes tone and speech classification. The system utilizes a processor and memory to execute instructions that allow it to determine the cumulative average of an audio signal's entropy, power spectral amplitude, and spectral entropy. It calculates a difference measure to distinguish tones from speech, enhancing the processing of audio signals in contact centers.

Another significant patent is the "System and method for unsupervised discovery of similar audio events." This invention employs Locality Sensitive Hashing (LSH) to search for similar audio clips within a large dataset collected from automated dialing campaigns. The system queries a database for matches between unknown audio clips and reference audio messages, updating the database as new or changed messages are detected.

Career Highlights

Throughout his career, Adam has worked with various companies, including Genesys Telecommunications Laboratories, Inc. His experience in the telecommunications industry has allowed him to develop innovative solutions that address real-world challenges in audio processing.

Collaborations

Adam has collaborated with talented individuals such as Rivarol Vergin and Jason Anthony McDowell. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Adam M Paugh's contributions to audio signal processing through his patents demonstrate his commitment to innovation and technology. His work continues to influence the field, paving the way for future advancements in audio classification systems.