Speech Communication Fluency Compensation in Noisy Audio Links
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Solution Overview
Problem
Existing speech communication systems in noisy environments, such as cars, suffer from fixed ICC and ECNR parameters, limiting their applicability and failing to adaptively adjust signal parameters for improved communication fluency.
Innovation Solution
A method and apparatus that dynamically determine communication fluency and contributing factors through speech recognition, adjusting signal parameters like acoustic feedback, sound source separation, and volume gain to enhance communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed ICC and ECNR parameters are used in speech communication systems, then device complexity is reduced and ease of operation is improved, but adaptability to different noisy environments deteriorates and communication fluency is limited
Solution Approach 1:
The patent implements dynamic parameter adjustment by continuously monitoring communication fluency metrics (such as speech recognition accuracy, signal-to-noise ratio, and echo cancellation performance) and automatically adapting ICC and ECNR parameters in real-time. This transforms the fixed parameter system into a dynamic one that responds to changing environmental conditions, resolving the contradiction between adaptability and complexity through automated feedback control
Solution Approach 2:
The system introduces feedback mechanisms that monitor communication quality indicators and use this information to adjust signal processing parameters. By establishing closed-loop control where communication fluency measurements feed back into parameter optimization, the system achieves environmental adaptability without requiring complex manual configuration, as the feedback-driven automation handles the complexity management
2Reliability
If fixed signal processing parameters are applied, then power consumption is reduced and system simplicity is maintained, but communication fluency in varying acoustic environments deteriorates
Solution Approach 1:
The system dynamically adjusts signal processing intensity based on real-time assessment of communication fluency and environmental noise levels. When communication quality is sufficient, processing intensity is reduced to save power; when quality degrades, processing intensity increases to maintain fluency. This dynamic power management resolves the contradiction by making power consumption proportional to actual communication needs rather than maintaining fixed high-level processing
Solution Approach 2:
The patent changes processing parameters adaptively based on communication fluency metrics. Instead of maintaining fixed high-power processing settings, the system modifies parameters such as noise reduction strength, echo cancellation aggressiveness, and gain adjustment levels according to measured communication quality. This parameter adaptation maintains reliability while optimizing power consumption to match actual performance requirements
3Reliability
If comprehensive speech recognition and analysis are performed to determine communication fluency, then communication quality improvement is enhanced, but processing time and computational load increase
Solution Approach 1:
The system performs partial speech recognition and analysis focused specifically on fluency-indicative keywords and phrases rather than complete transcript generation. By concentrating computational resources on identifying key communication quality indicators (such as requests for repetition, expressions of understanding, or confusion signals) rather than full linguistic processing, the system maintains communication quality assessment capability while significantly reducing processing time and computational burden
Data Source
AI summary
A method includes: obtaining a first audio signal corresponding to at least one communication participant, and determining, based on a result of speech recognition on the first audio signal, communication fluency of a speech communication system regarding the at least one communication participant, as well as a factor contributing to the communication fluency; determining, based on the communication fluency and the factor contributing to the communication fluency, a target signal adjusting parameter of the speech communication system for the at least one communication participant; and adjusting, based on the target signal adjusting parameter, a second audio signal corresponding to the at least one communication participant, to obtain and play a third audio signal, wherein the second audio signal is an audio signal which is obtained regarding the at least one communication participant and is subsequent to the first audio signal in a time sequence.