Sound Recognition Apparatus Using Amalgamated Data Correlation
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Solution Overview
Problem
Existing voice recognition technologies face challenges in resource-limited environments due to high power and complexity requirements, making them difficult to implement in simple applications.
Innovation Solution
A sound recognition method and apparatus that processes posterior sound signals by generating amalgamated data from both posterior and anterior sound signals, using correlation coefficients like Pearson's coefficients to determine matching, and outputs an indication of matching data, employing a processor and hardware components such as microcontrollers and Schmitt Trigger circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If modern voice recognition technology is implemented, then recognition accuracy is improved, but power consumption and system complexity increase
Solution Approach 1:
The patent segments the voice recognition process into distinct phases: anterior data capture, posterior data capture, and correlation comparison. By dividing the continuous speech stream into manageable segments and only processing relevant portions, the system achieves accurate recognition while reducing overall computational load and power consumption in resource-constrained environments.
Solution Approach 2:
The patent applies partial action by using correlation coefficients to compare only the most relevant features between anterior and posterior data, rather than processing every possible parameter. This selective processing maintains sufficient recognition accuracy while significantly reducing the computational resources and power required compared to complete analysis methods.
2Measurement precision
If modern voice recognition technology is implemented, then recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses on the most critical correlation features between anterior and posterior voice data, filtering out unnecessary complexity. By identifying and processing only the essential correlation coefficients rather than all possible signal parameters, the system achieves accurate recognition with simplified processing architecture suitable for embedded devices.
Solution Approach 2:
The patent changes the approach from complex multi-parameter analysis to a simplified correlation coefficient-based comparison. This parameter transformation reduces the dimensionality of the processing task while maintaining recognition accuracy, making the system more suitable for resource-constrained environments with limited computational power.
3Productivity
If extensive computing resources are used, then voice recognition performance is improved, but cost and accessibility decrease
Solution Approach 1:
The patent uses correlation coefficients as a simplified copy or representation of the complex voice signal relationships. Instead of processing the full complexity of voice waves, the system creates a reduced-dimensional correlation representation that captures essential patterns, enabling accurate recognition on low-cost devices without requiring extensive computing resources.
Solution Approach 2:
The patent replaces complex mechanical signal processing systems with a simplified correlation-based computational approach. This substitution allows voice recognition functionality to be achieved on low-cost embedded devices rather than requiring expensive high-performance computing hardware, improving accessibility while maintaining recognition performance.
Data Source
AI summary
A sound recognition apparatus (100) comprises a microphone (110) for capturing a posterior sound signal; and a processing circuit comprising a processor (180). The processing circuit is configured to process the posterior sound signal to derive posterior data, generate, using the processor (180), amalgamated data from the posterior data and anterior data derived from a previously captured anterior signal, determine, by the processor (180), whether there are correlations between the amalgamated data, the posterior data, and the anterior data that indicate that the posterior data matches the anterior data by comparing the posterior data and the amalgamated data, and the anterior data and the amalgamated data, and upon the posterior data matching the anterior data, output, by the processor (180), an indication that the posterior data matches the anterior data.