This inventor holds 5 USPTO granted patents. Top assignees: Vocalid, Inc., Bae Systems Information and Electronic Systems Integration Inc.. Active years: 2017-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2017-2021
Title: Innovations of Geoffrey Seth Meltzner
Introduction
Geoffrey Seth Meltzner is an accomplished inventor based in Natick, MA (US). He holds a total of 5 patents that showcase his expertise in audio data classification and machine learning technologies. His innovative approaches have significantly contributed to the field of audio processing.
Latest Patents
Meltzner's latest patents focus on image-based methods for identifying and classifying audio data. One of his notable inventions involves using image-based machine learning techniques to determine the authenticity of audio data, such as speech. This process begins with obtaining audio data and generating a visual representation, which may include spectrograms or other electronic formats. Prior to analysis, both the audio and image data may undergo various preprocessing techniques. The trained model then analyzes the image representation to classify the audio data as authentic or otherwise.
Career Highlights
Throughout his career, Meltzner has worked with several prominent companies, including Vocalid, Inc. and BAE Systems Information and Electronic Systems Integration Inc. His work in these organizations has allowed him to develop and refine his innovative ideas in audio technology.
Collaborations
Meltzner has collaborated with notable professionals in his field, including Rupal Patel and Markus Toman. These partnerships have further enhanced his contributions to audio data classification and machine learning.
Conclusion
Geoffrey Seth Meltzner's work exemplifies the intersection of audio technology and machine learning. His innovative patents and collaborations highlight his significant impact on the industry. His contributions continue to pave the way for advancements in audio data processing and classification.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile