Company Portfolio
Amazon Technologies
Portfolio strength
Strong portfolio
Patents indexed
13
Year range
2018 – 2026
Patent Activity by Year
All Patents
13
Career timeline
11 patents, 2018–2026
Dot size = forward citations
Hover or tap any dot to see the patent. Larger dots indicate more forward citations — a proxy for downstream influence.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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