Voice Processing Device Using Cepstrum Analysis for Gain Control
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Solution Overview
Problem
Conventional voice adjustment devices fail to ensure that voice signals from a talker on the near-end side are sent to a far-end side at an appropriate level, particularly when dealing with devices positioned at distant locations.
Innovation Solution
A voice processing method and device that determine the probability of human voice in an audio signal using cepstrum analysis and adjust the gain accordingly to enhance voice clarity and reduce noise, ensuring that the voice is sent at an optimal level across distant communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional voice adjustment device uses fixed threshold comparison method, then device complexity is low, but voice clarity and noise reduction effectiveness deteriorate
Solution Approach 1:
The patent changes the parameter from simple threshold comparison to cepstrum analysis with probability calculation. The voice detection mechanism uses cepstral coefficients to calculate a probability value that represents the likelihood of the audio signal being human voice, replacing the conventional fixed threshold method with a more sophisticated parameter-based approach that improves detection precision while maintaining reasonable device complexity
Solution Approach 2:
The patent substitutes the mechanical threshold comparison system with a signal processing system based on cepstrum analysis. Instead of directly comparing audio signal strength with a preset threshold, the system transforms the audio signal into the cepstral domain, extracts features, and calculates probability values, replacing the simple mechanical decision process with a more advanced analytical approach
2Ease of operation
If conventional voice adjustment device uses fixed time period determination, then ease of operation is high, but communication quality across distant positions deteriorates
Solution Approach 1:
The patent introduces dynamic gain adjustment based on calculated voice probability values. Instead of using fixed time periods and static threshold comparisons, the system dynamically adjusts the gain of the audio signal according to the real-time probability that the signal represents human voice. This dynamic approach improves transmission reliability by adapting to varying voice conditions while maintaining ease of operation through automated probability-based control
3Speed
If conventional voice adjustment device does not calculate probability value, then processing speed is fast, but voice clarity and noise reduction effectiveness deteriorate
Solution Approach 1:
The patent performs preliminary cepstrum analysis and probability calculation on the audio signal before final voice determination. By pre-calculating the probability value that represents the likelihood of human voice presence, the system prepares discriminative features in advance, enabling both fast processing and high precision in distinguishing voice from noise without requiring complex real-time computations during the decision phase
Data Source
AI summary
Voice processing method and device includes obtaining a probability value of an audio signal representing sound, collected by a first microphone on a near-end side, including a person's voice, determining a gain of the audio signal based on the determined probability value, processing the audio signal based on the determined gain of the audio signal, and sending the processed audio signal to a far-end side.