View source for Sonos, Inc. (20240265921). CONFLICT MANAGEMENT FOR WAKE-WORD DETECTION PROCESSES simplified abstract

=CONFLICT MANAGEMENT FOR WAKE-WORD DETECTION PROCESSES=


==Organization Name==

[[:Category:Sonos, Inc.|Sonos, Inc.]]


[[Category:Sonos, Inc.]]

==Inventor(s)==

[[:Category:Joseph Dureau of Paris (FR)|Joseph Dureau of Paris (FR)]][[Category:Joseph Dureau of Paris (FR)]]

==CONFLICT MANAGEMENT FOR WAKE-WORD DETECTION PROCESSES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240265921 titled 'CONFLICT MANAGEMENT FOR WAKE-WORD DETECTION PROCESSES

==Simplified Explanation==
The patent application describes systems and methods for managing multiple wake-word engines in a network microphone device. The device uses different wake-word engines to detect specific wake words in sound data and avoids processing audio following a false-positive wake-word event.

* Detect sound via microphones of a network microphone device.
* Use multiple wake-word engines to detect specific wake words in the sound data.
* Disregard wake-word events if two wake words are detected within a certain period of time.
* Discard sound data to prevent improper processing of audio after a false-positive wake-word event.

==Key Features and Innovation==
* Utilizes multiple wake-word engines for improved wake-word detection.
* Prevents false-positive wake-word events from leading to incorrect audio processing.
* Enhances the accuracy and efficiency of wake-word detection in network microphone devices.

==Potential Applications==
* Smart home devices
* Voice-controlled assistants
* Security systems

==Problems Solved==
* Avoids processing audio incorrectly after false-positive wake-word events.
* Improves the reliability of wake-word detection in network microphone devices.

==Benefits==
* Enhanced accuracy in detecting wake words.
* Prevents unnecessary processing of audio data.
* Increases the overall efficiency of network microphone devices.

==Commercial Applications==
The technology can be applied in various commercial products such as smart speakers, security systems, and other voice-controlled devices, improving their wake-word detection capabilities and overall performance in audio processing tasks.

==Questions about Wake-Word Detection==
===How does the use of multiple wake-word engines improve wake-word detection accuracy?===
Using multiple wake-word engines allows for more robust detection of specific wake words, reducing the likelihood of false positives and enhancing the overall accuracy of the detection process.

===What are the potential implications of avoiding improper audio processing following false-positive wake-word events?===
By discarding sound data after false-positive wake-word events, the technology ensures that audio processing remains accurate and prevents any unintended actions based on incorrect wake-word detections.


==Original Abstract Submitted==

systems and methods for managing multiple wake-word engines are disclosed. an example method can include detecting sound via microphone(s) of a network microphone device (nmd). the nmd uses a first wake-word engine to detect a first wake word in the sound data and a second wake-word engine to detect a second wake word in the sound data. if these two wake words are detected within a first period of time, the nmd disregards both the first wake-word event engine and the second wake-word event and discards the sound data to guard against improper processing of audio following a false-positive wake-word event.



[[Category:G10L15/22]]
[[Category:G10L15/08]]
[[Category:G10L15/32]]
[[Category:CPC_G10L15/22]]