Marco Tagliasacchi

This inventor holds 18 USPTO granted patents and 10 published patent applications and 4 EPO patents. Top assignee: Google Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marco Tagliasacchi. Retrieved from https://idiyas.com/inventor/marco-tagliasacchi

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

USPTO Granted Patents = 18 (Patent Applications = 10)

% Patents Active = 100.0

EPO Patents = 4 (Patent Applications = 14)

Average Co-Inventor Count = 5.2

ph-index = 2

Forward Citations = 12(Granted Patents)

Location History:

Zurich, CH (2022)
Lugano, CH (2023)
Kilchberg, CH (2023 - 2024)

Company Filing History:

18 out of 33,959

Google Inc.

patents

Years Active: 2022-2026

Loading Chart...

18 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. 12482477 - Machine learning for microphone style transfer (2025-11-25),

6. 12482452 - Learned audio frontend machine learning model for audio understanding (2025-11-25),

7. 12361964 - Conditioned separation of arbitrary sounds based on machine learning models (2025-07-15),

8. 12322380 - Generating audio using auto-regressive generative neural networks (2025-06-03),

9. 12200465 - Spatial audio recording from home assistant devices (2025-01-14),

10. 12198710 - Generating coded data representations using neural networks and vector quantizers (2025-01-14),

11. 12190896 - Generating audio waveforms using encoder and decoder neural networks (2025-01-07),

12. 12165663 - Self-supervised audio representation learning for mobile devices (2024-12-10),

13. 12020138 - Generating audio using auto-regressive generative neural networks (2024-06-25),

14. 11990148 - Compressing audio waveforms using neural networks and vector quantizers (2024-05-21),

15. 11915689 - Generating audio using auto-regressive generative neural networks (2024-02-27),

Title: Innovator Spotlight: Marco Tagliasacchi

Introduction:

Marco Tagliasacchi, a brilliant inventor based in Zurich, Switzerland, is making waves in the tech industry with his innovative patents and groundbreaking research in audio signal generation and compression. With six patents to his name, Marco has established himself as a leading figure in the field of machine learning and neural networks.

Latest Patents:

Marco's latest patents showcase his expertise in the field of audio technology. One of his inventions involves generating audio using auto-regressive generative neural networks, where he utilizes semantic representations to predict audio signals. Another patent focuses on compressing audio waveforms using neural networks and vector quantizers, demonstrating his proficiency in developing efficient data compression techniques.

Career Highlights:

Currently affiliated with Google Inc., Marco Tagliasacchi has been instrumental in driving forward the company's research and development initiatives in the realm of artificial intelligence and machine learning. His contributions have led to the development of cutting-edge technologies that have the potential to revolutionize the way audio data is processed and transmitted.

Collaborations:

Throughout his career, Marco has collaborated with notable individuals in the tech industry, including Dominik Roblek and Neil Zeghidour. Together, they have worked on projects that have pushed the boundaries of innovation and paved the way for new advancements in the field of neural networks and audio technology.

Conclusion:

In conclusion, Marco Tagliasacchi's impressive portfolio of patents and his invaluable contributions to the tech industry underscore his status as a visionary inventor. His dedication to exploring the possibilities of artificial intelligence and machine learning continues to inspire and drive progress in the world of audio technology.

Profile summary based on public USPTO records.