Audio Output Validation via Centralized Voice Model Repository
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Solution Overview
Problem
Disparate computing resources face challenges in efficiently processing and consistently providing audio-based content items due to lack of access to synchronized voice models, leading to redundant processing and inefficient resource utilization.
Innovation Solution
A data processing system that selects and modifies computing program output by identifying placeholder fields in dialog data structures within chatbots, using a content selection process to insert parameterized content items, and employing a parametrically driven text-to-speech technique to generate acoustic signals, thereby reducing redundant processing and improving resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If disparate computing resources process audio-based content items independently, then each resource can operate autonomously, but processing consistency and accuracy deteriorate due to lack of synchronized voice models
Solution Approach 1:
The patent merges voice model resources across disparate computing devices by establishing a centralized voice model repository. Instead of each device maintaining its own voice models, the system combines all voice models into a shared resource that can be accessed and loaded dynamically, ensuring consistent audio processing across all devices while maintaining their operational autonomy.
Solution Approach 2:
The voice model repository serves multiple computing devices simultaneously, making the voice model resource universal. The same voice model can be loaded and used across different devices for various functions (chatbots, voice assistants, etc.), eliminating the need for duplicate models on each device and ensuring consistent performance.
2Measurement precision
If computing resources perform redundant processing to select content items, then content selection accuracy improves, but processor utilization deteriorates
Solution Approach 1:
The system performs preliminary action by pre-loading and caching voice models into memory before they are needed for content selection. This eliminates the need for redundant processing during content selection, as the models are already available for immediate use, thereby improving processor utilization while maintaining selection accuracy.
Solution Approach 2:
Instead of each device performing redundant content selection processing, the system creates copies of voice models in a shared repository that can be referenced by multiple devices. This allows accurate content selection without redundant processing, as devices can access pre-prepared model copies rather than performing independent selection algorithms.
3Speed
If voice models are stored locally on each computing device, then access speed improves, but device complexity and storage requirements worsen
Solution Approach 1:
The patent introduces a voice model repository as an intermediary between the central server and individual computing devices. This repository acts as a caching layer that stores voice models close to the devices, enabling fast access speeds while centralizing the complexity of model management and storage in a dedicated resource rather than on each device.
Data Source
AI summary
Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation. The system can validate the dialog data structure output by the computing device for presentation.