Servo Noise Suppression Circuit for Robot Speech Recognition
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Solution Overview
Problem
Existing speech recognition systems in robots suffer from reduced recognition accuracy due to noise generated by the robot's motion, which interferes with the voice signals collected by microphones.
Innovation Solution
A circuit and method that includes a first decoder, an analog-to-digital converter, and a main controller to suppress servo noise by decoding a pre-recorded servo sound file and subtracting it from the ambient sound signal collected by the microphone, improving speech recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot moves to perform tasks, then the robot's functionality and productivity are improved, but noise from servo motion degrades speech recognition accuracy
Solution Approach 1:
The patent segments the audio signal processing into multiple independent components: servo noise detection module, voice signal detection module, and differential processing module. This allows the system to separately identify and process servo noise and user voice signals, then combine them to achieve accurate speech recognition during robot motion without compromising either productivity or recognition accuracy
Solution Approach 2:
The patent introduces an intermediary processing mechanism that uses the relationship between servo noise and ambient sound as a mediator. By detecting servo noise through differential processing of ambient sound signals and using this as a reference to subtract from the microphone input, the system effectively eliminates servo noise interference while preserving user voice signals, thus resolving the contradiction between robot motion and speech recognition accuracy
2Measurement precision
If the robot remains stationary to improve speech recognition, then recognition accuracy is improved, but the robot cannot perform motion-based tasks
Solution Approach 1:
The patent converts the harmful servo noise generated during robot motion into a useful reference signal for noise cancellation. By detecting servo noise through differential processing and using it to subtract from the microphone input signal, the system transforms the motion-induced interference into a benefit that enables accurate speech recognition during robot operation, thus allowing the robot to maintain both productivity and recognition accuracy simultaneously
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the recognition rate of speech interactions between users and robots by effectively filtering out noise caused by the robot's motion, leading to more accurate speech recognition.
Implementation Method 1
an analog-to-digital converter configured to convert the first sound analog signal into a first sound digital signal, and convert a second sound analog signal collected by the microphone into a second sound digital signal
Data Source
AI summary
The present disclosure provides a robot and speech interaction recognition rate improvement circuit and method thereof. In the circuit, the main controller transmits a pre-recorded servo sound file to the first decoder in response to detecting the robot being in a motion state; the first decoder decodes the servo sound file to obtain a first sound analog signal of a servo sound; the analog-to-digital converter converts the first sound analog signal of the servo sound into a first sound digital signal, and converts a second sound analog signal collected by the microphone into a second sound digital signal; and the main controller further performs a suppression process on the servo sound in the second sound digital signal based on the first sound digital signal and the second sound digital signal. As a result, the influence of the sound of the servo of the robot is effectively reduced.