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PatentBrief

Company Portfolio

Amazon Technologies

66

Portfolio strength

Strong portfolio

Patents indexed

13

Year range

2018 – 2026

softwaretelecommunicationsai_mlconsumer_electronicsrobotics

Patent Activity by Year

2018
1
2019
1
2020
1
2021
2
2022
3
2023
1
2026
2

Key Inventors

Bjorn Hoffmeister4Spyridon Matsoukas2Shamitha Somashekar2Nadia Labai2Leo Parker Dirac2Eric Li Sun2Marthinus Coenraad De Clercq Wentzel2Bharathan Balaji2

All Patents

13

Career timeline

11 patents, 2018–2026

Dot size = forward citations

201820202021202320242026

Hover or tap any dot to see the patent. Larger dots indicate more forward citations — a proxy for downstream influence.

Compare their top 4 patents →
US 10847149·2020

How Voice Assistants Listen for More Commands Without a Wake Word

This patent describes how a voice assistant can keep listening for follow-up commands after an initial request, without needing you to say its wake word again, based on the type of command you just gave.

US 11361763·2022

How Smart Speakers Know You're Talking to Them After a Command

This patent describes how a smart speaker system can tell if follow-up speech is meant for it, even without a "wake word," by analyzing voice activity and partial speech recognition results using an AI model.

US 10923111·2021

How Voice Assistants Distinguish Speakers After a Wakeword

This patent describes a method for voice assistants to better understand who is speaking after a 'wakeword' by comparing voice characteristics to improve speech recognition accuracy, especially in multi-speaker environments.

US 11429762·2022

How Computers Train AI Models Using Separate Virtual Simulations

This patent describes a system where one virtual computer runs simulations of a system, like a robot, and another virtual computer uses the simulation data to teach an AI model how to make better decisions.

US 10276149·2019

How Voice Assistants Change Their Speech Based on How You Talk

This patent describes a system where a voice-controlled device adjusts its text-to-speech output characteristics, like speed or tone, based on the user's speaking habits or current situation, making responses feel more natural and personalized.

US 10121471·2018

How Voice Assistants Know When You've Finished Talking

This patent describes a method for speech recognition systems to accurately detect the end of a spoken phrase by considering multiple interpretations of the audio and how much silence each interpretation suggests.

US 12531820·2026

How Chatbots Use AI and Fact Databases to Learn and Improve

This patent describes how a chatbot can combine the broad answering abilities of a large language model with a structured knowledge graph to provide more accurate, verifiable, and debuggable responses, especially for repeat questions.

US 11062694·2021

Making Computer Voices Sound More Expressive from Your Speech

This patent describes how a computer listens to your spoken words, figures out which parts you emphasized, and then makes its own computer-generated voice emphasize those same parts when it speaks back.

US 11514901·2022

How Voice Assistants Recognize Who is Talking

This patent describes a system that uses a recorded voice sample to identify if new speech comes from the same person, allowing voice assistants to only respond to specific users.

US 12626703·2026

How Smart Speakers Recognize Who Is Talking

This patent describes how a speech-controlled device identifies a specific user from their voice to deliver personalized content or deny requests based on recognition confidence.

US 11836577·2023

Training Robot AI Models Faster Using Smart Simulations

This patent describes a cloud service that helps train artificial intelligence models for robots by running simulations, even suggesting improvements to the AI's learning rules before starting.

US 20250200392

How to Check if a Large Language Model's Answer is True

Amazon's patent details a system for verifying large language model responses by having a second AI translate the answer into formal logic, which an automated theorem prover then checks for validity or invalidity.

US 20220189458

How Wearable Devices Use Location and Biometrics to Know Who You Are

This patent describes how a computer system can figure out who is using a wearable device by combining its location data with biometric information like a face scan or voice recording.

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