Company Filing History:
2 out of 30,943 
1 out of 16 Years Active: 2004-2013
Title: Ognjen Todic: Innovator in Audio Synchronization Technologies
Introduction
Ognjen Todic is a notable inventor based in San Francisco, California. He has made significant contributions to the field of audio synchronization technologies, holding three patents that showcase his innovative approach to enhancing automated speech recognition systems.
Latest Patents
Ognjen's latest patents include methods and systems for performing synchronization of audio with corresponding textual transcriptions. These patents focus on determining confidence values of the synchronization process. The technology allows audio and corresponding text, such as transcripts, to be synchronized in both forward and reverse directions using speech recognition. This results in time-annotated audio-lyrics synchronized data. The patents also describe methods for enhancing the automated synchronization process, potentially adapting Hidden Markov Models (HMMs) to the synchronized audio for improved speech recognition. Another significant patent involves an automated speech recognition filter that approximates an original speech signal as spoken into a transceiver by a user. This filter determines various models that represent cumulative signal degradation along the transmission and reception paths, ultimately providing an audio signal that corresponds to the context of the original speech.
Career Highlights
Throughout his career, Ognjen has worked with prominent companies such as Gm Global Technology Operations LLC and Shazam Entertainment Limited. His experience in these organizations has contributed to his expertise in audio technologies and speech recognition systems.
Collaborations
Ognjen has collaborated with notable professionals in his field, including Stephen C Habermas and Kai-Ten Feng. These collaborations have likely enriched his work and led to advancements in the technologies he has developed.
Conclusion
Ognjen Todic is a distinguished inventor whose work in audio synchronization technologies has made a significant impact in the field of automated speech recognition. His innovative patents and collaborations reflect his commitment to advancing technology in this area.
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