AI Microphone Array for In-Car Voice Noise Isolation
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Solution Overview
Problem
Existing vehicle technologies do not adequately support passenger interaction with the external environment in non-, partially-, and fully-autonomous vehicles, posing safety risks due to inconsistent user behaviors across different levels of autonomy.
Innovation Solution
A dynamic microphone system with multiple microphones and AI-based audio processing for accurate voice command recognition, capable of isolating passenger voices from environmental noise and performing noise cancellation and equalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple microphones with AI processing are implemented, then voice command recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the audio processing task across multiple microphones positioned at different locations within the vehicle. Each microphone captures audio from its specific zone, and the AI processing system segments and analyzes these signals separately before integrating them for comprehensive voice command recognition.
Solution Approach 2:
An AI-based audio processing system acts as an intermediary between the multiple microphones and the voice command recognition system. This intermediary processes raw audio signals from all microphones, performs noise cancellation, speaker identification, and speech recognition, thereby simplifying the overall system architecture while maintaining high accuracy.
2Measurement precision
If noise cancellation and equalization processing is performed, then speech recognition accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary noise cancellation and equalization processing on audio signals before they are fed into the speech recognition system. By pre-processing the audio signals to remove background noise and equalize speaker characteristics, the system reduces the computational burden during actual speech recognition, thereby minimizing processing time while maintaining high accuracy.
Solution Approach 2:
The AI processing system automatically adapts to different speakers and environmental conditions in real-time, performing self-adjustment of equalization and noise cancellation parameters without requiring manual intervention or extensive processing. This self-service capability enables rapid processing while maintaining optimal speech recognition accuracy.
Data Source
AI summary
Devices, systems and processes for a dynamic microphone system that enhances the passenger experience in autonomous vehicles are described. One example method for enhancing a passenger experiences includes generating, using an artificial intelligence algorithm, a plurality of filters based on a plurality of stored waveforms previously recorded by each of one or more passengers and a plurality of recordings of one or more noise sources, capturing voice commands from at least one of the one or more passengers inside the autonomous vehicle, generating voice commands with reduced distortion based on processing the voice commands using the plurality of filters, and instructing, based on the voice commands with reduced distortion, the autonomous vehicle to perform one or more actions.