Company Filing History:
Years Active: 2004
Title: The Innovative Contributions of Mohand Ferhaoul in Speech Coding
Introduction: Mohand Ferhaoul, an inventive mind from Rouiba, Algeria, has made a significant mark in the field of speech technology. With one patent to his name, he has innovated a method that enhances the efficiency of speech coding, particularly in environments where quality and complexity are crucial.
Latest Patents: Ferhaoul's patent, titled "Recursively Excited Linear Prediction Speech Coder," showcases a novel approach to generating excitation in a CELP-like (Code Excited Linear Prediction) speech coder. This technique allows for the recursive calculation of the excitation signal, resulting in lowered complexity with minimal impact on the speech quality. The excitation signal encompasses a sum of at least three vector terms, where each term is derived from a codebook vector and an associated gain term. The first vector term is determined to represent a target excitation vector, with subsequent terms recursively calculated as differences from this target.
Career Highlights: Ferhaoul's career is marked by his role at Scansoft, Inc., a company known for its advancements in speech recognition and synthesis technologies. His work at Scansoft has allowed him to apply his innovative ideas in practical applications that can benefit a wide range of industries reliant on high-quality speech coding.
Collaborations: During his tenure, Ferhaoul has collaborated with notable colleagues such as Jean-Francois Rasaminjanahary and Stefaan Van Gerven. Together, they share a commitment to pushing the boundaries of technology and enhancing the capabilities of speech-related applications.
Conclusion: Mohand Ferhaoul exemplifies the spirit of innovation in speech technology with his patented work. His contributions to the field not only demonstrate his expertise but also highlight the importance of collaboration among brilliant minds. As technology continues to evolve, Ferhaoul's innovations will likely play a significant role in shaping the future of speech coding.
