Company Filing History:
Years Active: 2024
Title: Innovations by Pablo Calderon Rodriguez in Audio Content Analysis
Introduction
Pablo Calderon Rodriguez is an innovative inventor based in Boulder, Colorado. He has made significant contributions to the field of audio content analysis through his unique patent. His work focuses on utilizing machine learning to enhance the identification of audio content, particularly in streaming formats.
Latest Patents
Rodriguez holds a patent for a method and system that identifies shifts in audio content via machine learning. This patent describes a machine learning model that analyzes streaming audio, such as radio broadcasts, in overlapping, 3-second samples. Each sample is categorized into groups like 'song,' 'talk,' 'commercial,' and 'transition.' The model enables the precise determination of when a song begins and ends in the audio stream, as well as identifying transitions between songs.
Career Highlights
Pablo Calderon Rodriguez is currently employed at Auddia Inc., where he continues to develop innovative solutions in audio technology. His work has the potential to revolutionize how audio content is analyzed and categorized, providing valuable insights for various applications in the media industry.
Collaborations
Rodriguez collaborates with talented professionals such as Peter Shoebridge and Jeffrey J Thramann, contributing to a dynamic team focused on advancing audio analysis technologies.
Conclusion
Pablo Calderon Rodriguez is a notable inventor whose work in machine learning and audio content analysis is paving the way for future innovations in the industry. His contributions are significant and reflect a commitment to enhancing the understanding of audio streams.