Toronto, Canada

Neil Veira

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Neil Veira: Innovator in Data Processing and Speech Recognition

Introduction

Neil Veira is a prominent inventor based in Toronto, Canada. He has made significant contributions to the fields of data processing and automated speech recognition. With a total of 2 patents to his name, Veira's work focuses on optimizing resource allocation and enhancing the efficiency of data processing systems.

Latest Patents

One of Neil Veira's latest patents is titled "Dynamic service level assignment system for data processing manager." This innovative data processing system includes a queue manager that receives data processing requests and determines a queue depth representing the number of pending requests. A load supervisor assigns a service level to each request based on the queue depth when the request is at the head of the queue. The system offers two service levels, with the second level requiring fewer computing resources than the first. This dynamic management system optimizes resource allocation by adjusting service levels based on the workload, ensuring efficient processing of data requests.

Another notable patent is "Multiple service levels for automatic speech recognition." This system performs automated speech recognition (ASR) on audio data and includes a queue manager to receive requests for ASR, add them to a queue, and determine the queue depth. The load supervisor assigns a service level for each request based on the queue depth. Additionally, the system features a speech-to-text converter that selects an ASR model based on the assigned service level and performs ASR on the audio data.

Career Highlights

Neil Veira is currently employed at SoundHound AI IP, LLC, where he continues to innovate in the field of data processing and speech recognition. His work has significantly impacted the efficiency of these technologies, making them more accessible and effective for various applications.

Collaborations

Neil has collaborated with notable colleagues, including Matthias Eichstaedt and Seyed Majid Emami. Their combined expertise has contributed to the development of advanced technologies in their respective fields.

Conclusion

Neil Veira's contributions to data processing and automated speech recognition demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of technology and its applications, making him a valuable figure in the industry.

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