Adaptive Voice Activity Detection Circuit for Noise-Dependent Algorithm Selection
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Solution Overview
Problem
Existing voice activity detection (VAD) systems face challenges in accurately distinguishing voice commands from ambient noises, particularly in environments with varying noise levels, leading to high miss recognition and false trigger rates due to the use of fixed algorithms that are not adaptable to different noise conditions.
Innovation Solution
A VAD device and method that includes an environment detection circuit to analyze audio input signals and select the most suitable VAD algorithm or result based on the detected noise characteristics, such as energy variation and noise type, to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed VAD algorithm is used, then the device complexity is reduced, but the VAD performance deteriorates in varying noise environments
Solution Approach 1:
The patent implements dynamic algorithm selection where the VAD system transitions from a fixed algorithm to a dynamic multi-algorithm framework. The environment detection circuit continuously monitors noise characteristics and dynamically switches between different VAD algorithms (first VAD algorithm for stationary noise, second VAD algorithm for non-stationary noise) to optimize performance in varying acoustic environments.
Solution Approach 2:
The patent changes the parameter of algorithm selection based on detected noise characteristics. The voice activity decision circuit adjusts which VAD algorithm is active according to the environment detection result, effectively changing the system's operational parameters to match the current acoustic environment, thereby resolving the contradiction between simplicity and performance.
2Reliability
If multiple VAD algorithms are adopted adaptively, then the VAD performance is improved, but the device complexity increases
Solution Approach 1:
The patent segments the VAD system into distinct functional modules: an environment detection circuit that analyzes noise characteristics, a voice activity decision circuit that selects the appropriate algorithm, and multiple specialized VAD algorithms themselves. This segmentation allows each component to have focused functionality, making the overall complex system more manageable and maintainable.
Solution Approach 2:
The patent creates a universal VAD device that can handle multiple noise types through a single integrated system. The environment detection circuit universally analyzes different noise characteristics, and the voice activity decision circuit universally selects from multiple algorithms, allowing one device to perform effectively in diverse acoustic environments without requiring separate specialized devices for each noise type.
3Reliability
If the speech recognition function is kept enabled to avoid missing voice commands, then the miss index is reduced, but the power consumption increases
Solution Approach 1:
The patent applies preliminary action through the environment detection circuit and voice activity decision circuit that operate before the speech recognition function is fully activated. These circuits preliminarily analyze the acoustic environment and make informed decisions about whether to enable speech recognition, preventing unnecessary power consumption while ensuring voice commands are not missed through inaccurate VAD decisions.
Data Source
AI summary
Disclosed is a voice activity detection (VAD) device and method capable of referring to an environment detection result and thereby selecting one of multiple VAD results as a basis for determining whether a voice activity occurs. The VAD device includes an environment detection circuit, a VAD circuit, and a voice activity decision circuit. The environment detection circuit is configured to process an audio input signal and thereby generate an environment detection result. The VAD circuit is configured to analyze the audio input signal with multiple VAD algorithms and thereby generate multiple VAD results. The voice activity decision circuit is configured to select one of the multiple VAD results according to the environment detection result.