Audio Signal Processing Evaluation via Speech-to-Text Analysis
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Solution Overview
Problem
There is a lack of objective methods to evaluate the effectiveness of noise cancellation techniques in audio signal processing, as existing solutions fail to provide a standardized approach for comparing different algorithms and mechanisms.
Innovation Solution
An audio signal processing evaluation method and apparatus that generates a processed audio signal by adding a secondary signal to a master speech signal, removes the secondary signal, and evaluates the sound characteristics through speech-to-text conversion to determine the correctness and voiceprint similarity between the original and processed signals, using a processor and memory-based system with modules for audio signal processing, feature extraction, and evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different noise cancellation algorithms or mechanisms are introduced by different suppliers, then various audio signal processing results are achieved, but there is no objective evaluation method available to compare them
Solution Approach 1:
The patent introduces a standardized evaluation system as an intermediary between different noise cancellation algorithms and objective comparison. This system uses consistent test signals, controlled environments, and uniform measurement criteria to enable fair comparison across different suppliers' algorithms without biasing toward any specific implementation
Solution Approach 2:
The patent establishes specific measurable parameters for evaluating audio signal processing quality, transforming subjective assessments into objective quantitative measurements. By defining clear evaluation parameters, the system enables precise comparison of different algorithms based on consistent criteria rather than vague impressions
2Object-affected harmful factors
If noise cancellation techniques are applied to audio signals, then noise reduction is achieved, but the effectiveness of different techniques cannot be objectively evaluated
Solution Approach 1:
The patent replaces subjective human listening tests with automated electronic measurement systems that objectively assess audio signal processing quality. This substitution eliminates human bias and provides consistent, repeatable measurements of noise reduction effectiveness across different algorithms
Solution Approach 2:
The patent implements a feedback mechanism where the evaluation system measures the output of noise cancellation algorithms and compares it against reference standards. This closed-loop approach provides objective feedback on processing quality, enabling continuous improvement and fair comparison of different techniques
Data Source
AI summary
A method and an apparatus for audio signal processing evaluation are provided. The audio signal processing is performed on a synthesized audio signal to generate a processed audio signal. The synthesized audio signal is generated by adding a secondary signal into a master signal. The master signal is merely a speech signal. The signal processing is related to removing the secondary signal from the synthesized audio signal. The sound characteristics of the processed audio signal and the master signal are obtained, respectively. The sound characteristics include text content, and the text content is generated by performing speech-to-text on the processed audio signal and the master signal. The audio signal processing is evaluated according to the compared result between the sound characteristics of the processed audio signal and the master signal. The compared result includes the correctness of the text content of the processed audio signal relative to the master signal.