RF-Assisted Voice Interface for Noisy and Whispered Commands
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Solution Overview
Problem
Voice user interface devices struggle with accurately recognizing voice commands in noisy environments and when users whisper or speak softly, leading to incomplete or incorrect command recognition.
Innovation Solution
Integrate radio frequency (RF) sensing capabilities to collect additional data about the user's location, direction, and commands, combining it with audio data to enhance voice recognition, using algorithms with varying resolution levels to improve command detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice recognition relies solely on audio input, then the device structure remains simple, but recognition accuracy deteriorates in noisy environments or when users speak softly
Solution Approach 1:
The patent combines audio input data with RF sensing data to form a fused command output. The voice UI device integrates multiple data sources (audio microphones and RF sensors) to improve voice command recognition accuracy in noisy environments or when users speak softly, while maintaining relatively simple device structure.
2Measurement precision
If multiple sensing modalities are integrated, then recognition accuracy improves, but device complexity increases
Solution Approach 1:
The patent makes the voice UI device multi-functional by integrating both audio processing and RF sensing capabilities into a single device. The voice UI device can perform voice recognition using audio input, RF sensing using radio frequency signals, and fused recognition combining both modalities, thereby improving command detection accuracy while managing device complexity through unified processing.
3Loss of information
If RF sensing is added to augment voice recognition, then disambiguation capability improves, but processing complexity increases
Solution Approach 1:
The patent introduces a data fusion process as an intermediary between audio processing and RF sensing. The voice UI device processes audio data to generate audio command output, processes RF sensing data to generate RF command output, and then fuses these outputs to determine the final voice command. This intermediary fusion process improves disambiguation capability while managing processing complexity through systematic integration.
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
Enhances voice recognition by providing additional information about user commands, allowing devices to better discern commands in noisy conditions and when audio data is insufficient, improving operational accuracy.
Implementation Method 1
obtain RF sensing data corresponding to the audio data; processing the RF sensing data to determine an RF sensing voice command output
Data Source
AI summary
Systems and techniques are provided for voice recognition assisted by radio frequency (RF) sensing. For example, a process for voice recognition assisted by radio frequency (RF) sensing can include obtaining, at a voice user interface (UI) device, audio data comprising a voice command from a speaking entity; obtaining RF sensing data corresponding to the audio data; processing the audio data to determine an audio voice command output; processing the RF sensing data to determine an RF sensing voice command output; determining the voice command based on the audio voice command output and the RF sensing voice command output; and performing, at the voice UI device, an operation based on the voice command.