Neil Zeghidour

This inventor holds 14 USPTO granted patents and 9 published patent applications and 3 EPO patents. Top assignee: Google Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Neil Zeghidour. Retrieved from https://idiyas.com/inventor/neil-zeghidour

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

USPTO Granted Patents = 14 (Patent Applications = 9)

% Patents Active = 85.7

EPO Patents = 3 (Patent Applications = 4)

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 9(Granted Patents)

Company Filing History:

14 out of 33,959

Google Inc.

patents

Years Active: 2022-2026

Loading Chart...

14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12749481 - Generating audio using auto-regressive generative neural networks (2026-09-29),

2. 12744045 - Using machine learning and discrete tokens to estimate different sound sources from audio mixtures (2026-09-22),

3. 12554972 - Performing tasks using generative neural networks (2026-02-17),

4. 12518773 - Compressing audio waveforms using a structured latent space (2026-01-06),

5. 12482452 - Learned audio frontend machine learning model for audio understanding (2025-11-25),

6. 12322380 - Generating audio using auto-regressive generative neural networks (2025-06-03),

7. 12236970 - Separating speech by source in audio recordings by predicting isolated audio signals conditioned on speaker representations (2025-02-25),

8. 12200465 - Spatial audio recording from home assistant devices (2025-01-14),

9. 12198710 - Generating coded data representations using neural networks and vector quantizers (2025-01-14),

10. 12020138 - Generating audio using auto-regressive generative neural networks (2024-06-25),

11. 11990148 - Compressing audio waveforms using neural networks and vector quantizers (2024-05-21),

12. 11915689 - Generating audio using auto-regressive generative neural networks (2024-02-27),

13. 11600282 - Compressing audio waveforms using neural networks and vector quantizers (2023-03-07),

14. 11475909 - Separating speech by source in audio recordings by predicting isolated audio signals conditioned on speaker representations (2022-10-18),

Title: Neil Zeghidour: Pioneering Innovator in Audio Technology

Introduction:

Neil Zeghidour, a visionary inventor based in Paris, FR, has made significant contributions to the field of audio technology. With a total of 5 patents to his name, Neil's relentless pursuit of excellence and passion for innovation have solidified his reputation as a trailblazer in the industry. His latest patents showcase his expertise in generating audio using auto-regressive generative neural networks and compressing audio waveforms using neural networks and vector quantizers.

Latest Patents:

Neil Zeghidour's latest patents focus on cutting-edge audio technologies. One patent involves methods, systems, and apparatus for generating an audio signal prediction by utilizing generative neural networks conditioned on semantic representations. Another patent revolves around compressing audio waveforms through the use of neural networks and vector quantizers. These inventions highlight Neil's innovative approach to audio processing and signal prediction.

Career Highlights:

Currently working at Google Inc., Neil Zeghidour has established himself as a key player in developing advanced audio technologies. His expertise and creativity have led to the successful implementation of novel solutions in the field of audio signal processing. Neil's dedication to pushing the boundaries of innovation has earned him recognition among his peers and industry professionals.

Collaborations:

Neil Zeghidour's collaborations with notable coworkers such as Marco Tagliasacchi and Dominik Roblek have further enriched his innovative endeavors. Together, they have leveraged their collective expertise to explore new frontiers in audio technology, resulting in groundbreaking advancements that have reshaped the industry landscape. Their collaborative efforts have exemplified the power of teamwork in driving technological innovation forward.

Conclusion:

In conclusion, Neil Zeghidour's remarkable journey as a pioneering innovator in audio technology underscores his unwavering commitment to excellence and innovation. His transformative inventions not only inspire future generations of inventors but also contribute significantly to the ongoing evolution of technological advancements in the field of audio processing. Neil's passion for innovation continues to fuel his pursuit of groundbreaking solutions that have a lasting impact on the industry.

Profile summary based on public USPTO records.