Smart Speaker Neural Network Noise Compensation
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Solution Overview
Problem
Efficient conversations with AI personal assistants are challenging in noisy environments, and users often struggle to hear vocal or other sounds generated by these assistants, making communication difficult.
Innovation Solution
Smart speakers equipped with neural networks that collect environmental data, including sound levels, and use this information to apply compensation filters to improve voice command interpretation and direct sound output, utilizing beamforming, directional speakers, and sensors to enhance sound clarity and reduce noise exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the AI personal assistant operates in a noisy environment, then it can provide services in real-world conditions, but the speech recognition accuracy deteriorates
Solution Approach 1:
The patent applies noise reduction filters that transform the harmful noisy environment into a beneficial condition for speech recognition. The system analyzes the noise characteristics and applies compensatory filtering to enhance the speech signal, effectively converting the harmful noise into an opportunity to demonstrate robust speech recognition capability.
Solution Approach 2:
The system dynamically adjusts speech recognition parameters based on the detected noise level. When environmental noise is detected, the system modifies its speech processing parameters to optimize recognition accuracy, thereby maintaining performance across varying environmental conditions.
2Illumination intensity
If the AI personal assistant increases sound output volume, then users can hear it better in noisy environments, but noise exposure and potential hearing damage increase
Solution Approach 1:
The patent implements directional sound projection that concentrates audio output toward the user's location rather than omnidirectional broadcasting. This allows the system to provide adequate sound volume to the user while reducing noise exposure to other areas, creating localized audio quality that addresses the contradiction between volume and harmful noise exposure.
3Measurement precision
If the smart speaker uses beamforming and directional speakers, then sound clarity and directionality improve, but device complexity increases
Solution Approach 1:
The patent divides the speaker system into multiple independent speaker units arranged in an array. Each speaker unit can be independently controlled to project sound in specific directions, enabling beamforming capability through segmentation of the overall speaker system into manageable components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables clearer and more effective voice command recognition, reduces noise exposure for user safety, and provides user-observable indicators for noise levels, enhancing communication in noisy environments while protecting hearing health.
Implementation Method 1
neural networks that collect environmental data, including sound levels, and use this information to apply compensation filters to improve voice command interpretation
Implementation Method 2
utilizing beamforming, directional speakers, and sensors to enhance sound clarity and reduce noise exposure
Implementation Method 3
sensors to enhance sound clarity and reduce noise exposure
Data Source
AI summary
Embodiments relate to an electronic device such a smart speaker. The electronic device may include a sensor to identify an environmental condition related to a location in which the electronic device is positioned. The electronic device may further include a processor to identify, based on a neural network, a sound-related parameter related to the environmental condition. The electronic device may further include a speaker to generate a sound based on the sound-related parameter. Other embodiments may be described or claimed.