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

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CONFLICT MANAGEMENT FOR WAKE-WORD DETECTION PROCESSES

Organization Name

Sonos, Inc.

Inventor(s)

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.