Company Filing History:
Years Active: 2018-2021
Title: The Innovative Contributions of Ladan Golipour in Synthetic Speech Technology
Introduction: Ladan Golipour, an accomplished inventor based in Morristown, NJ, has made significant strides in the field of synthetic speech generation. With an impressive portfolio of seven patents, Golipour's work stands out for its ability to enhance the quality of speech synthesis, providing solutions that are both innovative and practical.
Latest Patents: Among his latest contributions are two noteworthy patents. The first is titled "System and method for prosodically modified unit selection databases." This invention focuses on improving the quality of synthetic speech generation by modifying selected speech units to match desired prosodic curves. By enhancing the prosodic coverage of the speech unit database, this system significantly boosts the output quality of synthesized speech.
The second patent, "System and method for text normalization using atomic tokens," offers a novel approach to normalizing text for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). This system effectively divides Unicode text into atomic tokens that correlate closely with actual pronunciation rather than meaning. The simplicity of adapting this method to new languages showcases Golipour's forward-thinking design that allows non-experts to annotate training data with ease.
Career Highlights: Ladan Golipour is currently associated with AT&T Intellectual Property I, L.P., where he continues to innovate in the field of speech technology. His career is marked by a dedication to improving how machines understand and generate human speech, contributing to advancements that benefit various industries.
Collaborations: Throughout his career, Golipour has collaborated with esteemed colleagues, including Alistair D. Conkie and Ann K. Syrdal. These partnerships have enabled the exchange of ideas and techniques, fostering an environment of innovation and continuous improvement in their respective fields.
Conclusion: Ladan Golipour's contributions to synthetic speech technology and text normalization have set significant benchmarks in the industry. His inventive work not only reflects his expertise but also paves the way for future advancements in how we interact with machines through natural language.
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