This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Bull Sas, Centre National De La Recherche Scientifique, Institut Polytechnique De Grenoble. Active years: 2026.
Company Filing History:
1 out of 321 
1 out of 123 
1 out of 8 
Years Active: 2026
Title: The Innovative Mind of Sina Alisamir
Introduction
Sina Alisamir is a notable inventor based in Saint Martin d'Hères, France. He has made significant contributions to the field of emotion recognition technology. His work focuses on developing methods and devices that enhance the understanding of human emotions through audio signals.
Latest Patents
Sina Alisamir holds a patent for a "Method, device and computer program for emotion recognition from a real-time audio signal." This invention relates to a computer-implemented method that enables real-time emotion recognition from audio signals. The method involves transcribing audio speech signals into text using an automatic speech recognition model. It also computes a joint representation vector that combines the speech signal and the transcribed text. Furthermore, an emotion prediction model is utilized to compute an emotion embedding vector, which is then mapped to emotional frames through an emotion mapping model. This innovative approach has the potential to revolutionize how machines interpret human emotions.
Career Highlights
Throughout his career, Sina Alisamir has worked with prestigious institutions such as Université Grenoble Alpes and Institut Polytechnique de Grenoble. His experience in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
One of his notable collaborators is Fabien Ringeval. Their partnership has likely fostered advancements in emotion recognition technology and has contributed to the success of their projects.
Conclusion
Sina Alisamir's work in emotion recognition technology exemplifies the innovative spirit of modern inventors. His contributions are paving the way for future advancements in understanding human emotions through technology.