Sonos, Inc. (20240288926). Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load simplified abstract
Contents
- 1 Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Network Microphone Devices
- 1.13 Original Abstract Submitted
Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load
Organization Name
Inventor(s)
Nick D'amato of Santa Barbara CA (US)
Daniele Giacobello of Los Angeles CA (US)
Joachim Fainberg of Santa Barbara CA (US)
Klaus Hartung of Santa Barbara CA (US)
Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240288926 titled 'Multiple Stage Network Microphone Device with Reduced Power Consumption and Processing Load
Simplified Explanation
The patent application describes systems, methods, and devices that reduce power consumption in network microphone devices. One embodiment involves capturing audio content, performing keyword detection, and wake-word detection to activate voice services.
- Network microphone devices with reduced power consumption
- Method includes capturing audio content, keyword detection, and wake-word detection
- Activates voice services based on detected wake word
Key Features and Innovation
- Reduced power consumption in network microphone devices
- Two-step detection process for keywords and wake words
- Efficient activation of voice services based on wake words
Potential Applications
- Smart home devices
- Voice-controlled appliances
- Security systems
Problems Solved
- High power consumption in network microphone devices
- Efficient wake-word detection process
- Improved user experience with voice-activated services
Benefits
- Energy efficiency
- Enhanced user convenience
- Reduced computational load on devices
Commercial Applications
- Smart home automation systems
- IoT devices
- Voice-controlled gadgets market
Prior Art
Prior art related to this technology can be found in patents and research papers on voice recognition systems, wake-word detection algorithms, and power-efficient devices.
Frequently Updated Research
Stay updated on advancements in voice recognition technology, power optimization in IoT devices, and artificial intelligence algorithms for wake-word detection.
Questions about Network Microphone Devices
How does the two-step detection process improve power efficiency in network microphone devices?
The two-step detection process allows for a more targeted use of computational resources, reducing overall power consumption in the device.
What are the potential security implications of using voice-activated services in network microphone devices?
Voice-activated services in network microphone devices may raise concerns about privacy and data security, requiring robust encryption and authentication measures to safeguard user information.
Original Abstract Submitted
systems, methods, and devices with reduced power consumption in network microphone devices. in one embodiment, a network microphone device is configured to perform a method that includes (i) capturing audio content; (ii) using a first algorithm to perform a keyword detection process for determining whether the audio content includes a keyword; (iii) responsive to determining that the audio content includes the keyword, using a second, more computationally intensive algorithm to perform a wake-word detection process for determining whether the audio content includes a wake word; and (iv) responsive to performing the wake-word detection process, (a) causing a voice service corresponding to the wake word to process the audio content if the wake-word detection process confirms that the audio content includes the wake word or (b) ceasing performance of the wake-word detection process if the wake-word detection process disconfirms that the audio content includes the wake word.
