Charles Effinger is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of technology, particularly in audio content processing. With a total of 5 patents to his name, Effinger continues to push the boundaries of innovation.

Latest Patents

One of his latest patents focuses on deep learning-based automatic detection and labeling of dynamic advertisements in long-form audio content. This invention discloses techniques and methods for detecting long-form audio content in one or more audio files. A computing system receives first audio data corresponding to a first version of an audio file and second audio data corresponding to a second version of the audio file. The system generates a first transcript of the first audio data and a second transcript of the second audio data. It then compares the audio data and transcripts to identify advertisement portions and content portions. Using a semantic model based on a machine learning transformer, the system can determine advertisement segments within the advertisement portions, storing information about their duration and location.

Another notable patent addresses techniques for detecting non-synchronization between audio and video. This invention describes methods for identifying synchronization errors between audio and video in media content. Audio portions may be identified based on sound levels associated with respective segments. A determination may be made that a segment includes a conversation segment based on frame counts in both audio and video. This allows for the identification of synchronization errors in conversation segments.

Career Highlights

Charles Effinger is currently employed at Amazon Technologies, Inc., where he applies his expertise in audio processing and machine learning. His work has significantly impacted the way audio content is analyzed and utilized in various applications.

Collaborations

Effinger has collaborated with talented individuals such as Christian Garcia Siagian and Ryan Barlow Dall, contributing to innovative projects and advancements in technology.

Conclusion

Charles Effinger's contributions to the field of audio processing and machine learning demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in real-world scenarios.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to [email protected]