Company Filing History:
Years Active: 2017-2019
Title: Spyros Matsoukas: Innovator in Acoustic Detection and Neural Networks
Introduction
Spyros Matsoukas is a notable inventor based in Hopkinton, MA (US). He has made significant contributions to the fields of audio processing and neural networks, holding a total of 2 patents. His work focuses on enhancing the efficiency and accuracy of audio data transmission and sequence tagging.
Latest Patents
Matsoukas's latest patents include innovative methods that leverage advanced computational techniques. The first patent, titled "Acoustic Trigger Detection," describes a method for the selective transmission of audio data to a speech processing server. This method utilizes the detection of an acoustic trigger within the audio data to determine which data to transmit. By employing a time delay structure, the approach efficiently reuses intermediate computation results, thereby reducing the overall computational load while improving accuracy. The second patent, "Markov-Based Sequence Tagging Using Neural Networks," introduces features for tagging sequential input using a neural network without relying on an internal representation generated during previous scoring. This method allows for more effective training of neural networks in tagging tasks.
Career Highlights
Spyros Matsoukas is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in technology. His work has garnered attention for its practical applications and contributions to the advancement of audio processing and machine learning.
Collaborations
Matsoukas has collaborated with several talented individuals in his field, including Ariya Rastrow and Sri Venkata Surya Siva Rama Krishna Garimella. These collaborations have further enriched his research and development efforts.
Conclusion
Spyros Matsoukas stands out as an influential inventor whose work in acoustic detection and neural networks is paving the way for future innovations. His patents reflect a commitment to improving technology and enhancing user experiences in audio processing.