Company Filing History:
Years Active: 2022
Title: **Innovations by Pierre-Hadrien Arnoux in Automatic Speech Recognition Systems**
Introduction
Pierre-Hadrien Arnoux, an inventive mind based in New York, NY, has made significant contributions to the field of automatic speech recognition. With a total of two patents to his name, he has developed innovative methods that enhance the capabilities of speech recognition technologies, making them more efficient and effective.
Latest Patents
Arnoux's latest patents center around the generation of synthetic narrowband data, which is vital for training automatic speech recognition models.
1. His first patent outlines a method for generating synthetic telephony narrowband data. This is done by receiving a broadband audio data file, initiating a telephony call with a pre-configured telephone provider, and then playing the broadband audio file during the call. The system records and stores the audio data generated during transmission, resulting in a synthetic narrowband data file.
2. The second patent presents a system and apparatus designed for the same purpose, emphasizing the effectiveness of broadband audio data file playback through telephony calls for training purposes.
Career Highlights
Pierre-Hadrien Arnoux currently works at International Business Machines Corporation (IBM), where he continues to explore and innovate in the realm of automatic speech recognition. His work at IBM positions him among some of the leading professionals in technology and innovation.
Collaborations
Throughout his career, Arnoux has collaborated with talented coworkers, including Vamshi Krishna Thotempudi and Vibha Singhal Sinha. Together, they contribute to advancing the technological landscape and support the development of breakthrough innovations in their field.
Conclusion
Pierre-Hadrien Arnoux stands out as an inventor whose work is reshaping the landscape of automatic speech recognition. With his innovative patents and collaborative spirit at IBM, he continues to contribute to the future of technology, paving the way for advancements that may redefine how machines understand human speech.
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