Modiin, Israel

Yehoshua Dissen

This inventor holds 2 USPTO granted patents. Top assignee: Gong I.o Ltd.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yehoshua Dissen. Retrieved from https://idiyas.com/inventor/yehoshua-dissen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 50.0

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Yehoshua Dissen: Innovator in Machine Learning and Audio Processing

Introduction

Yehoshua Dissen is a prominent inventor based in Modiin, Israel. He has made significant contributions to the fields of machine learning and audio processing. With a total of 2 patents, Dissen's work focuses on enhancing the efficiency and accuracy of audio data processing through innovative techniques.

Latest Patents

Dissen's latest patents include "Techniques for utterance grouping and for improved training of machine learning models using grouped utterance data." This patent describes a system and method for training a machine learning model using sample labeling. The method involves embedding a first plurality of audio samples into a plurality of embeddings, grouping these embeddings, and selecting audio samples for labeling based on confidence scores and embedding space coverage.

Another notable patent is "Techniques for improved audio processing using acoustic and language identification models." This patent outlines a method for tuning hyperparameters of an acoustic model based on outputs from a language identification model. It also details the application of both models to enhance audio processing for training data sets.

Career Highlights

Yehoshua Dissen is currently employed at Gong I.O. Ltd., where he applies his expertise in machine learning and audio processing. His innovative approaches have contributed to the development of advanced audio technologies that improve user experiences in various applications.

Collaborations

Dissen collaborates with Shlomi Medalion, a fellow innovator in the field. Their partnership fosters a creative environment that encourages the development of cutting-edge solutions in audio processing and machine learning.

Conclusion

Yehoshua Dissen's contributions to machine learning and audio processing demonstrate his commitment to innovation. His patents reflect a deep understanding of the complexities involved in audio data and machine learning models. Dissen continues to push the boundaries of technology, making significant strides in his field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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