San Francisco, CA, United States of America

Zizu Gowayyed

USPTO Granted Patents = 4 


Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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4 patents (USPTO):

Title: The Innovative Mind of Zizu Gowayyed: Pioneering Advances in Automatic Speech Recognition

Introduction

Zizu Gowayyed, an inventive force based in San Francisco, CA, is recognized for his significant contributions to the field of automatic speech recognition (ASR). Holding four patents, Gowayyed has dedicated his career to designing methods that enhance the performance and efficiency of speech recognition technologies.

Latest Patents

Gowayyed's latest patents demonstrate his expertise in improving ASR systems. One notable patent is a "Method and System for Acoustic Model Conditioning on Non-Phoneme Information Features." This innovative method employs an encoder model to process sound embeddings derived from key phrases in speech, effectively conditioning an acoustic model to optimize its ability to infer phoneme probabilities. By incorporating non-phoneme information, this method enhances the model's performance during speech recognition tasks.

Another significant patent is related to "Multiple Service Levels for Automatic Speech Recognition." This system manages audio data requests via a queue management approach, allowing for varying service levels based on current queue conditions. It utilizes a speech-to-text converter that selects the appropriate ASR model to efficiently process the audio data, thereby improving the responsiveness and effectiveness of ASR systems.

Career Highlights

Throughout his career, Zizu Gowayyed has made impactful strides by working with notable companies such as SoundHound, Inc. and SoundHound AI IP, LLC. His work in these organizations has been essential in developing cutting-edge ASR solutions that leverage neural networks and advanced algorithms.

Collaborations

Gowayyed has collaborated with esteemed professionals in the field, including Keyvan Mohajer and Bernard Mont-Reynaud. Working alongside such talented individuals has undoubtedly contributed to the successful implementation of significant technological advancements in automatic speech recognition.

Conclusion

Zizu Gowayyed's innovative spirit and dedication to enhancing automatic speech recognition technology are evident through his patents and collaborations. As he continues to explore new frontiers in ASR, his contributions will undoubtedly pave the way for further advancements and improvements in the way we interact with technology through speech.

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