Company Portfolio
Amazon Technologies
Portfolio strength
Strong portfolio
Patents indexed
7
Year range
2019 – 2023
Patent Activity by Year
All Patents
7
Career timeline
6 patents, 2019–2023
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 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 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.
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.
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 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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