Voice Controlled Wireless Device Server Intermediary
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Solution Overview
Problem
Current wireless communication devices face challenges in accurate voice recognition due to environmental noise, user accents, and limited computing power, resulting in poor speech recognition quality, which discourages users from utilizing voice control features.
Innovation Solution
The system sends recorded audio data from a wireless communication device to a server for speech recognition, evaluating the confidence level of the process; if high, it generates an application command, and if low, it routes the data to a human transcriber for manual review, ensuring accurate execution of voice commands over 90% of the time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice recognition is performed on the wireless communication device itself, then the device can operate independently, but the recognition accuracy is poor due to limited computing power and environmental noise
Solution Approach 1:
The patent introduces a server as an intermediary between the wireless communication device and the voice recognition processing. The device captures audio and transmits it to the server, which performs the complex speech-to-text conversion. This mediator handles the computationally intensive tasks that would overwhelm the mobile device's limited processing power while maintaining high recognition accuracy through dedicated server resources.
2Reliability
If the device has sufficient computing power for accurate voice recognition, then recognition accuracy improves, but the device's power consumption increases and battery life decreases
Solution Approach 1:
The server acts as an external processing intermediary that handles the computationally intensive speech recognition tasks. The wireless device only needs to perform minimal functions: capturing audio through the microphone and transmitting the audio data to the server. This division of labor allows high-quality recognition without requiring the mobile device to have sufficient local computing power, thereby avoiding excessive power consumption and preserving battery life.
3Measurement precision
If voice recognition processing is done locally on the device, then response time is fast, but recognition accuracy suffers due to environmental noise and accents
Solution Approach 1:
The server serves as an intermediary processing center that receives audio data from the wireless device and performs sophisticated speech recognition algorithms. The server environment provides controlled processing conditions free from the environmental noise and interference that affect mobile devices. This allows the system to achieve high recognition accuracy for various accents and speaking conditions without being constrained by the noisy mobile environment.
4Productivity
If the system uses automated speech recognition only, then processing is fast and cost-effective, but accuracy drops below 60% in mobile environments
Solution Approach 1:
The server intermediary enables the system to maintain fast processing speeds while achieving high accuracy. The server performs automated speech recognition using advanced algorithms in a controlled environment, eliminating the 60% accuracy limitation of mobile-based recognition. The wireless device quickly transmits audio to the server, and the server's dedicated processing resources ensure both speed and high recognition accuracy, overcoming the trade-off present in purely automated mobile systems.
Data Source
AI summary
A wireless communication device that accepts recorded audio data from an end-user. The audio data can be in the form of a command requesting user action. The audio data is reduced to a digital file in a format that is supported by the device hardware. The digital file is sent via wireless communication to at least one server computer for further processing. The command includes a unique device identifier that identifies the wireless communication device. The server computer determines required additional processing for the command based on the unique device identifier. The server computer constructs an application command based on the processed command, and transmits the application command to the wireless communication device. The application command includes at least one instruction that causes a corresponding application on the wireless communication device to execute the application command.