Dynamic De-reverberation Control for Microphone Voice Recognition
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Solution Overview
Problem
Existing de-reverberation schemes in intelligent terminals fail to adapt dynamically to changing environmental conditions, leading to residual reverberation and poor voice recognition rates.
Innovation Solution
A method and apparatus that continuously acquire reverberation parameters from audio signals to dynamically adjust the de-reverberation mode based on real-time reverberation levels, using preset correspondences to ensure optimal de-reverberation in varying environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed de-reverberation mode is determined at the start of voice communication, then the system complexity is reduced and ease of operation is improved, but the adaptability to changing environmental conditions deteriorates and residual reverberation increases
Solution Approach 1:
The patent implements dynamic adjustment of de-reverberation modes by continuously monitoring reverberation parameters (such as reverberation time T60, early decay time EDT, and clarity C50) and automatically switching between different de-reverberation algorithms based on real-time environmental conditions. This transforms the static, fixed mode selection into a dynamic adaptive system that responds to changing acoustic environments during voice communication.
2Device complexity
If a fixed de-reverberation mode is used throughout communication, then device complexity is reduced, but the de-reverberation effect deteriorates in varying environments and voice recognition rate decreases
Solution Approach 1:
The system employs feedback mechanisms by continuously measuring reverberation parameters from the acoustic environment and using this information to adjust the de-reverberation mode selection. The patent calculates reverberation characteristics in real-time and feeds this information back to the mode selection logic, enabling automatic adaptation to environmental changes without increasing overall system complexity.
Solution Approach 2:
The patent changes operational parameters by monitoring reverberation time, early decay time, and clarity indices, then adjusting the de-reverberation algorithm parameters accordingly. Different de-reverberation modes are selected based on threshold comparisons of these parameters, allowing the system to optimize performance for different reverberation conditions while maintaining manageable device complexity.
3Object-affected harmful factors
If strong de-reverberation is applied in all conditions, then reverberation removal is improved, but voice quality deteriorates and user instruction recognition rate decreases
Solution Approach 1:
The patent applies local quality by selecting different de-reverberation algorithms tailored to specific reverberation conditions. Instead of applying a uniform strong de-reverberation treatment to all scenarios, the system chooses appropriate algorithms (such as subtractive de-reverberation, spectral de-reverberation, or beamforming-based methods) based on the measured acoustic environment, thereby removing reverberation effectively while preserving voice quality in each local condition.
Data Source
AI summary
Provided are a de-reverberation control method and apparatus for a device equipped with a microphone. The method includes: reverberation parameters which indicate, at respective moments, reverberation levels of a room environment where the device is located are acquired from an audio signal played by the device; and a de-reverberation mode adopted by the device is dynamically adjusted according to the reverberation levels indicated by the reverberation parameters at different moments and preset correspondences between reverberation levels and de-reverberation modes. By adopting a dynamic de-reverberation mode, the method and the apparatus disclosed herein significantly improve the rate of the recognition of a device for the voice of the user.