Location History:
- Haifa, IL (2000 - 2002)
- Zichron Yaacov, IL (2006 - 2008)
- Zichron Yaakov, IL (2003 - 2013)
Company Filing History:
Years Active: 2000-2013
Title: Zohar Sivan: Innovator in Voice Processing Technologies
Introduction
Zohar Sivan is a prominent inventor based in Zichron Yaakov, Israel. He has made significant contributions to the field of voice processing, holding a total of 11 patents. His work focuses on enhancing voice recognition systems and improving the efficiency of voice processing tasks.
Latest Patents
Among his latest patents, Sivan has developed a system for distributed off-line voice services. This innovative voice processing system includes a real-time voice server designed to handle real-time voice processing tasks for clients. Additionally, a gateway processor is incorporated to accept requests for off-line voice processing tasks, converting them into equivalent real-time tasks for processing by the voice server. Another notable patent involves remote tracing and debugging of automatic speech recognition servers. This method allows for the efficient tuning and debugging of speech recognition systems by generating trace files from input speech, which are then analyzed remotely to adjust system parameters.
Career Highlights
Throughout his career, Zohar Sivan has worked with leading companies in the technology sector. He has been associated with IBM and Nuance Communications, Inc., where he has contributed to advancements in voice recognition and processing technologies. His expertise in these areas has positioned him as a key player in the industry.
Collaborations
Sivan has collaborated with notable professionals in his field, including Konstantin Kupeev and Shay Ben-David. These partnerships have further enriched his work and contributed to the development of innovative solutions in voice processing.
Conclusion
Zohar Sivan's contributions to voice processing technologies have made a significant impact on the industry. His innovative patents and collaborations highlight his dedication to advancing the field. His work continues to influence the development of efficient voice recognition systems.