Speech Recognition System Noise Adaptation
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Solution Overview
Problem
Speech recognition systems are sensitive to variations in reception quality, leading to degraded recognition results when the reception quality deteriorates, making them less comfortable and less effective in noisy or disturbed environments.
Innovation Solution
The system monitors reception quality and switches to a less sensitive mode or alerts the user when the quality drops below a threshold, ensuring maximum comfort and maintaining recognition quality by adjusting its operation to be more robust in adverse conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the speech recognition system responds quickly and naturally to user utterances, then user comfort is improved, but the system becomes very sensitive to disturbances and reception quality deterioration
Solution Approach 1:
The speech recognition system dynamically adjusts its sensitivity and processing parameters based on the detected reception quality. When reception quality is high, the system operates in a mode that responds quickly and naturally to user utterances. When reception quality deteriorates, the system automatically switches to a more robust processing mode that is less sensitive to disturbances, thus resolving the contradiction between user comfort and reliability.
Solution Approach 2:
The system changes operational parameters such as sensitivity thresholds, processing speed, and decision criteria based on the measured reception quality. By adjusting these parameters dynamically, the system maintains optimal performance across varying reception conditions, preventing excessive degradation of recognition results while adapting to different quality levels.
2Reliability
If the speech recognition system requires high volume and defined instants for speech input, then robustness to reception quality deterioration is improved, but response speed decreases
Solution Approach 1:
The system dynamically adjusts its operational characteristics based on reception quality. In good reception conditions, it operates with lower volume requirements and more flexible timing, achieving fast response. In poor reception conditions, it transitions to a mode with higher volume thresholds and more strict timing requirements, ensuring robustness while maintaining acceptable response speed.
Solution Approach 2:
The system modifies parameters such as minimum volume thresholds, time windows for speech detection, and decision confidence levels according to the detected reception quality. This parameter adaptation allows the system to balance robustness and response speed by selecting appropriate parameter sets based on current reception conditions.
Data Source
AI summary
A method for operating a speech recognition system is described in which a speech signal (S1) of a user is detected and analyzed so as to recognize speech information contained in the speech signal (S1). The speech recognition system determines a reception quality value (SQ) or a noise value which represents a current reception quality. The speech recognition system is switched over to a mode of operation which is less sensitive to noise and/or outputs an alert signal (SW) to the user when the reception quality value (SQ) drops below a given reception quality threshold or when the noise value exceeds a noise threshold. An appropriate speech recognition system is also described.