Adaptive Digital Assistant Voice Frequency for Clear Audio
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Solution Overview
Problem
Existing digital assistants face challenges in being heard clearly due to audio frequencies overlapping with other sounds in the environment, leading to difficulty in communication.
Innovation Solution
A system that identifies overlapping audio frequencies and adjusts the digital assistant's voice frequency to a non-conflicting range, using microphone input, facial recognition, or device profiles to ensure clear audio output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant uses a fixed voice frequency range, then the device complexity is reduced, but the audio clarity deteriorates when environmental sounds overlap with the voice frequency
Solution Approach 1:
The digital assistant's voice frequency is changed dynamically based on environmental conditions. The system monitors environmental sounds and adjusts the voice frequency in real-time to avoid overlapping with dominant environmental frequencies, transforming a static frequency system into an adaptive dynamic one that maintains audio clarity across varying conditions
Solution Approach 2:
The system implements a feedback mechanism where the digital assistant continuously monitors environmental audio frequencies and uses this information to adjust its own voice frequency. This closed-loop feedback ensures that the voice frequency adapts to environmental conditions, preventing overlap and maintaining clear audio output
2Reliability
If the digital assistant changes voice frequency dynamically, then the audio clarity in overlapping environments is improved, but the loss of time for frequency adjustment occurs
Solution Approach 1:
The system performs preliminary frequency analysis by continuously monitoring environmental sounds in advance of voice output. By maintaining awareness of dominant environmental frequencies beforehand, the system can prepare appropriate frequency adjustments, reducing the actual adjustment time when voice output is needed
Solution Approach 2:
The frequency monitoring and adjustment process operates continuously rather than intermittently. The system maintains constant surveillance of environmental audio frequencies, ensuring that frequency matching information is always available, thereby eliminating delays associated with initial frequency detection and enabling immediate frequency adjustment when needed
Data Source
AI summary
In one aspect, a device includes a processor and storage with instructions executable to identify a first frequency range of sound associated with an environment and to determine whether the first frequency range matches a second frequency range at least to within a threshold. The second frequency range is associated with a voice of a digital assistant. Responsive to the first frequency range matching the second frequency rage at least to within the threshold, the instructions are executable to change a setting for the digital assistant so that the voice of the digital assistant outputs audio in a third frequency range that does not match the first frequency range at least to within the threshold.