Sound System Speech Quality Feedback Using Recognition Comparison
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Solution Overview
Problem
Sound systems often produce unsatisfactory speech quality due to suboptimal settings or microphone placement, leading to unclear or distorted audio, which can be difficult for listeners to understand and requires manual adjustments that may not fully resolve the issue and cause interruptions.
Innovation Solution
A computer-implemented method that performs speech recognition on both input and output audio data to detect unsatisfactory speech quality and automatically adjusts sound system settings to improve clarity, using microphones to record and compare input and output audio, and taking corrective actions such as adjusting gain or channel equalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustments are made to resolve speech quality issues, then speech clarity may be improved, but interruptions and delays occur during the adjustment process
Solution Approach 1:
The sound system performs self-diagnosis and self-adjustment by automatically monitoring audio quality metrics and adjusting its own parameters without human intervention. The system uses microphones to capture output audio, compares it with input audio through speech recognition, and autonomously modifies settings to maintain optimal speech quality.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where output audio is continuously monitored, analyzed, and compared with input audio. Based on the analysis results, the system automatically adjusts parameters to maintain optimal speech quality, creating a continuous improvement cycle without manual intervention.
2Manufacturing precision
If manual adjustments are made to resolve speech quality issues, then speech clarity may be improved, but the adjustments may not fully resolve the difficulties for listeners
Solution Approach 1:
The system replaces manual mechanical adjustment with automated electronic control. Instead of human operators physically adjusting knobs or switches, the system uses computer-controlled parameter adjustment based on objective speech recognition analysis, ensuring more precise and reliable optimization.
Solution Approach 2:
The sound system autonomously monitors its own performance and performs self-optimization by analyzing speech quality metrics and automatically adjusting parameters. This self-service capability ensures consistent and reliable speech clarity improvement without depending on manual intervention quality.
3Extent of automation
If speech recognition is performed on input and output audio data to detect quality issues, then automatic quality improvement is enabled, but system complexity increases
Solution Approach 1:
The system uses speech recognition technology for multiple purposes: detecting speech quality issues, analyzing audio characteristics, and guiding parameter adjustments. This multi-functional use of speech recognition reduces the need for separate specialized components, thereby managing complexity while achieving automation.
Solution Approach 2:
The speech recognition system serves as an intermediary that bridges input audio analysis and output quality assessment. By using speech recognition results as a common reference point, the system can automatically detect quality degradation and trigger appropriate adjustments without requiring complex direct comparison mechanisms.
Data Source
AI summary
A computer implemented method, apparatus, and computer program product for a sound system. Speech recognition is performed on input audio data comprising speech input to a sound system. Speech recognition is additionally performed on at least one instance of output audio data comprising speech reproduced by one or more audio speakers of the sound system. A difference between a result of speech recognition performed on the input audio data and a result of speech recognition performed on an instance of corresponding output audio data is determined. The quality of the reproduced speech is determined as unsatisfactory when the difference is greater than or equal to a threshold. A corrective action may be performed, to improve the quality of the speech reproduced by the sound system, if it is determined that the speech quality of the reproduced sound is unsatisfactory.