Google llc (20240185858). VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES simplified abstract
Contents
- 1 VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES
Organization Name
Inventor(s)
Jian Wei Leong of San Francisco CA (US)
VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185858 titled 'VIRTUAL ASSISTANT IDENTIFICATION OF NEARBY COMPUTING DEVICES
Simplified Explanation
The method described in the abstract involves identifying computing devices based on audio data generated by a microphone, selecting a computing device to respond to a spoken utterance, and activating speech reception on the current computing device.
- Receiving audio data from a microphone of a computing device
- Identifying computing devices emitting audio signals in response to speech activation
- Selecting a computing device to respond to a spoken utterance
- Determining spoken utterances based on the audio data
Potential Applications
This technology could be applied in voice recognition systems, smart home devices, and virtual assistants.
Problems Solved
This technology solves the problem of accurately selecting the appropriate computing device to respond to spoken commands in a multi-device environment.
Benefits
The benefits of this technology include improved user experience, seamless integration of multiple devices, and efficient voice command processing.
Potential Commercial Applications
Potential commercial applications of this technology include smart speakers, smart TVs, and other IoT devices with voice control capabilities.
Possible Prior Art
One possible prior art for this technology could be voice recognition systems that use multiple microphones to identify the source of a spoken command.
== What are the privacy implications of using audio data to identify computing devices in a multi-device environment? === Privacy implications of using audio data to identify computing devices in a multi-device environment include potential concerns about data security, unauthorized access to audio recordings, and the risk of unintentional data sharing. Implementing robust encryption and user authentication measures can help mitigate these privacy risks.
== How does this technology compare to existing voice recognition systems in terms of accuracy and efficiency? === This technology offers the advantage of accurately selecting the appropriate computing device to respond to spoken commands in a multi-device environment, improving overall efficiency and user experience compared to existing voice recognition systems that may struggle to differentiate between multiple devices.
Original Abstract Submitted
in one example, a method includes method comprising: receiving audio data generated by a microphone of a current computing device; identifying, based on the audio data, one or more computing devices that each emitted a respective audio signal in response to speech reception being activated at the current computing device; and selecting either the current computing device or a particular computing device from the identified one or more computing devices to satisfy a spoken utterance determined based on the audio data.
