Acoustic Event Recognition via Pattern Matching
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Solution Overview
Problem
Existing devices for transmitting and displaying information do not effectively react to ambient noise or speech signals in the user's environment, lacking the ability to categorize and respond appropriately to external sound waves.
Innovation Solution
A device with a microphone and control unit that compares external acoustic signals to stored sample signals using pattern recognition, generating a control signal for adaptive display information output via a subtitle generator, allowing for flexible categorization and response to various acoustic events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern recognition with multiple sample signals is implemented, then measurement precision of acoustic events is improved, but device complexity increases due to memory storage and comparison operations
Solution Approach 1:
Sample signals representing different acoustic events are pre-stored in the memory device before operation. This preliminary preparation allows the control unit to perform rapid comparison operations during actual use without needing to analyze acoustic patterns from scratch, thereby improving recognition accuracy while keeping the processing complexity manageable.
Solution Approach 2:
The system uses stored sample signals (copies of known acoustic patterns) to represent and identify actual acoustic events. Instead of analyzing the complete complexity of each acoustic event in real-time, the control unit compares incoming signals against pre-stored copies, achieving accurate recognition with reduced computational burden.
2Adaptability or versatility
If correlation calculation with adjustable threshold values is used, then adaptability to different acoustic environments is improved, but ease of operation deteriorates due to configuration requirements
Solution Approach 1:
The comparison threshold value is designed to be adjustable rather than fixed, allowing the system to adapt to different acoustic environments and applications. Users can modify the threshold to optimize performance for specific scenarios, such as being more sensitive to certain sounds in noisy environments or more selective in quiet settings.
Solution Approach 2:
The system allows modification of the comparison threshold parameter to change the sensitivity and selectivity of acoustic event detection. By adjusting this parameter, the system can adapt to varying acoustic conditions without requiring complete reconfiguration of the recognition algorithm.
3Loss of information
If multiple sample signals are stored and compared, then information completeness about acoustic events is improved, but loss of time increases due to multiple comparison operations
Solution Approach 1:
The control unit compares the incoming acoustic signal against multiple stored sample signals simultaneously or in rapid sequence. While this involves multiple comparison operations, the use of pre-stored samples and efficient correlation calculations ensures that the time penalty is minimized while achieving complete acoustic event identification.
Solution Approach 2:
By pre-storing multiple sample signals representing different acoustic events in memory, the system prepares all necessary comparison patterns in advance. This allows rapid sequential comparison during operation without needing to generate or retrieve patterns in real-time, reducing the time penalty associated with multiple comparisons.
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
Enables accurate recognition and appropriate reaction to environmental acoustic events, providing flexible and precise detection and display of information associated with specific sounds, such as ring tones or speech, through adjustable threshold values and multiple pattern signal comparisons.
Implementation Method 1
a microphone device (110), the microphone device being configured in such a way that it converts external airborne sound waves into an acoustic signal which can be evaluated by the control unit (120)
Data Source
Figure 1~3
AI summary
The device (100) has a microphone device (110) for converting external sound waves into an acoustic signal evaluable by a control unit (120). The unit generates a control signal based on the acoustic signal and comparison of the acoustic signal with a pattern signal, where representation information is assigned to the pattern signal. A display device (140) displays the information based on the control signal and the comparison. A data interface outputs the information in a type adapted to the output of the information by a subtitle generator based on the control signal and the comparison. The display device is designed as a LCD display, thin film transistor display or organic LED display. Independent claims are also included for the following: (1) a system comprising an electrical device (2) a method for transmitting and/or for displaying representation information (3) a computer program with program code units for executing a method for transmitting and/or for displaying representation information (4) a computer program product with a computer-readable medium and computer program for executing a method for transmitting and/or for displaying representation information.