Camera-Assisted Speech Recognition Isolating Audio from Noise
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Solution Overview
Problem
Speech recognition software often fails to accurately interpret spoken speech in noisy environments due to background noise and audio interference, degrading its ability to transform spoken speech into meaningful electronic or text data.
Innovation Solution
The integration of camera-assisted speech recognition, which uses an image sensor to detect facial movements and isolate spoken speech from background noise, allowing the speech recognition software to analyze and transform audio segments into symbol sequences, and employing visual interpretation software to assist in deciphering indecipherable audio segments by generating symbol sequences from facial movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speech recognition software is used in noisy environments, then it can process spoken speech, but background noise and audio interference significantly degrade recognition accuracy
Solution Approach 1:
The patent segments the audio signal into multiple frequency bands using filter banks, allowing separate processing and analysis of different frequency components. This segmentation enables the system to identify and isolate speech signals from background noise by analyzing temporal and spectral characteristics of each band independently, thereby improving speech recognition accuracy in noisy environments
Solution Approach 2:
The patent introduces an intermediary processing stage between audio capture and speech recognition that includes noise estimation and signal enhancement components. This intermediary layer processes the raw audio signal to suppress background noise and enhance speech components before passing cleaned signals to the speech recognition engine, effectively mediating the harmful effect of noise
2Reliability
If only audio-based speech recognition is used, then the system is simple, but it fails to accurately interpret speech in noisy environments
Solution Approach 1:
The patent merges audio-based speech recognition with visual lip reading capabilities into a unified system. The audio processing stream and visual processing stream are combined at the feature level or decision level, allowing the system to leverage both modalities for more accurate speech interpretation in noisy environments while maintaining a modular architecture that balances complexity and performance
Data Source
AI summary
Methods, system, and articles are described herein for receiving an audio input and a facial image sequence for a period of time, in which the audio input includes speech input from multiple speakers. The audio input is extracted based on the received facial image sequence to extract a speech input of a particular speaker.