Asynchronous Speech Service Architecture for Privacy-Preserving Assistants

The patent segments the personal assistant processing system into multiple independent state machines, each responsible for specific task types (e.g., speech processing, text processing, sensor processing). This allows parallel execution of different tasks without requiring complex inter-task coordination, thereby improving processing efficiency while maintaining manageable system complexity through modular design.

The patent introduces a task queue as an intermediary component that manages asynchronous task submission and execution. The task queue mediates between task sources and state machines, allowing tasks to be submitted and processed independently without blocking other operations. This intermediary layer enables efficient asynchronous processing while simplifying the interaction model between different system components.

The patent implements a universal personal assistant server that can handle multiple types of inputs (speech, text, sensor data) and support various computing environments through a standardized interface layer. The server provides multi-functional capabilities including speech-to-text conversion, natural language processing, and integration with proprietary interfaces, allowing a single system to adapt to diverse environments without requiring environment-specific implementations.

The patent segments the personal assistant system into independent modular components (state machines, task queue, speech processing module, text processing module) that can be selectively activated based on the computing environment and task requirements. This modular architecture enables the system to adapt to different environments by enabling or disabling specific modules while maintaining a consistent core processing framework.