Sound Watermark Processing for Remote Conference Noise Interference
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Solution Overview
Problem
In remote conferences, noise interference can decrease the accuracy of determining sound watermarks, affecting conversation quality by distorting voice components in sound signals.
Innovation Solution
A sound watermark processing method and apparatus that generates a reflected sound signal based on a virtual reflection condition and a sound signal distance value, determined by the high/low-frequency sound ratio, to synthesize two watermark sound signals, reducing the overall power of the watermark and improving identification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sound watermark is added to identify speaking persons in remote conferences, then the ability to identify speaking persons is improved, but the accuracy of determining the watermark decreases when noise interferes with the sound signal
Solution Approach 1:
The watermark identification process is segmented into multiple frequency bands (high-frequency and low-frequency components). By dividing the sound signal into different frequency segments and processing them separately, the system can identify watermarks more accurately even when noise interferes with the overall signal. This segmentation allows the receiver to determine watermark presence in each frequency band independently, improving robustness against noise.
Solution Approach 2:
The patent introduces a frequency dimension to watermark identification by analyzing high-frequency and low-frequency components separately. Instead of treating the sound signal as a single entity, the system evaluates watermark presence across multiple frequency dimensions, thereby improving identification accuracy in noisy environments by leveraging information from different frequency perspectives.
2Measurement precision
If the power of the watermark sound signal is increased to improve detection, then the watermark can be more easily identified, but the distortion of voice components increases
Solution Approach 1:
The watermark signal is embedded with different characteristics in different frequency bands. High-frequency and low-frequency components of the watermark are processed differently, allowing the system to optimize watermark detectability in each frequency region while minimizing impact on voice quality. This local quality approach ensures that watermark power is distributed strategically rather than uniformly applied.
Solution Approach 2:
The system dynamically adjusts watermark parameters (such as power level and frequency distribution) based on the received sound signal characteristics. By changing these parameters adaptively, the system can improve watermark detection accuracy when needed while maintaining natural voice quality during normal conversation, thus resolving the contradiction between detectability and voice fidelity.
Data Source
AI summary
A processing method of a sound watermark and a sound watermark generating apparatus are provided. The method includes the following. A conversation-received sound signal sound signal is obtained by a sound receiver. A reflected sound signal is generated according to a virtual reflection condition and the conversation-received sound signal. A first watermark sound signal is generated according to a watermark identification code and the reflected sound signal. A second watermark sound signal is generated according to a sound signal distance value and the first watermark sound signal. An output watermark sound signal is generated by synthesizing the first watermark sound signal and the second watermark sound signal.